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[书籍] The Cambridge Dictionary of Statistics, Fourth Edition (2010)

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发表于 2010-11-4 23:08 | 显示全部楼层 |阅读模式
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The Cambridge Dictionary of Statistics, Fourth Edition (2010)

The Cambridge Dictionary of Statistics
By B. S. Everitt, A. Skrondal


Publisher: Cambridge University Press
Number Of Pages: 478
Publication Date: 2010-10-31
ISBN-10 / ASIN: 0521766990
ISBN-13 / EAN: 9780521766999


Product Description:

If you work with data and need easy access to clear, reliable definitions and explanations of modern statistical and statistics-related concepts, then look no further than this dictionary. Nearly 4000 terms are defined, covering medical, survey, theoretical, and applied statistics, including computational and graphical aspects. Entries are provided for standard and specialized statistical software. In addition, short biographies of over 100 important statisticians are given. Definitions provide enough mathematical detail to clarify concepts and give standard formula when these are helpful. The majority of definitions then give a reference to a book or article where the user can seek further or more specialized information, and many are accompanied by graphical material to aid understanding.






Table of Contents

Preface to fourth edition
Preface to third edition
Preface to first edition
Acknowledgements
Notation
Sources
A
Aalen–Johansen estimator
Aalen’s linear regression model
Abbot’s formula
ABC method
Ability parameter
Absolute deviation
Absolute risk
Absorbing barrier
Absorbing Markov chains
Absorption distributions
Abundance matrices
Accelerated failure time model
Accelerated life testing
Acceleration factor
Acceptable quality level
Acceptable risk
Acceptance region
Acceptance–rejection algorithm
Acceptance sampling
Accident proneness
Accidentally empty cells
Accrual rate
Accuracy
ACE
ACE model
ACES
ACF
ACORN
Acquiescence bias
Action lines
Active control equivalence studies (ACES)
Active control trials
Active life expectancy (ALE)
Actuarial estimator
Actuarial statistics
Adaptive cluster sampling
Adaptive designs
Adaptive estimator
Adaptive lasso
Adaptive methods
Adaptive methods of treatment assignment
Adaptive sampling design
Added variable plot
Addition rule for probabilities
Additive clustering model
Additive effect
Additive genetic variance
Additive model
Additive outlier
Additive tree
Adelstein, Abe (1916–1993)
Adequate subset
Adjacency matrix
Adjusted correlation matrix
Adjusted treatment means
Adjusting for baseline
Administrative databases
Admissibility
Admixture in human populations
Adoption studies
Adverse selection
Aetiological fraction
Affine invariance
Affine transformation
Ageependent birth and death process
Age heaping
Age–period–cohort model
Age-related reference ranges
Age-specific death rates
Age-specific failure rate
Age-specific incidence rate
Agglomerative hierarchical clustering methods
Agreement
Agresti’s a
Agronomy trials
AI
AIC
Aickin’s measure of agreement
AID
Aitchison distributions
Aitken, Alexander Craig (1895–1967)
Ajne’s test
Akaike’s information criterion (AIC)
ALE
Algorithm
Aliasing
Allele
Allocation ratio
Allocation rule
Allometry
All possible comparisons (APC)
All subsets regression
Almon lag technique
Almost sure convergence
Alpha(a)
Alpha factoring
Alpha spending function
Alpha(a)-trimmed hairspmean
Alpha(a)-winsorized mean
Alshuler’s estimator
Alternate allocations
Alternating conditional expectation (ACE)
Alternating least squares
Alternating logistic regression
Alternative hypothesis
Aly’s statistic
Amersham model
AML
Amplitude
Amplitude gain
Analysis as-randomized
Analysis of covariance (ANCOVA)
Analysis of dispersion
Analysis of variance (ANOVA)
Analysis of variance table
Analytic epidemiology
Ancillary statistic
ANCOVA
Andersen, Erling Bernhard (1934–2004)
Andersen–Gill model
Anderson–Darling test
Anderson-Hsiao estimator
Anderson, John Anthony (1939–1983)
Anderson, Oskar Nikolayevick (1887–1960)
Andrews’ plots
Angle count method
Angler survey
Angular histogram
Angular transformation
Angular uniform distribution
Annealing algorithm
ANOVA
Ansari–Bradley test
Anscombe residual
Antagonism
Antidependence models
Anthropometry
Anti-ranks
Antithetic variable
A-optimal design
APC
A posteriori comparisons
Apparent error rate
Approximate bootstrap confidence (ABC) method
Approximation
A priori comparisons
Aranda–Ordaz transformations
Arbuthnot, John (1667–1735)
Archetypal analysis
ARCH models
Arc sine distribution
Arc sine law
Arc sine transformation
ARE
Area sampling
Area under curve (AUC)
Arfwedson distribution
ARIMA
Arithmetic mean
Arjas plot
ARMA
Armitage–Doll model
Armitage–Hill test
Arrelano-Bond estimator
Arrhenius lifetime model
Artificial intelligence
Artificial neural network
Artificial neuron
Artificial pairing
Ascertainment bias
ASN
As-randomized analysis
Assignment method
Association
Assortative mating
Assumptions
Asymmetrical distribution
Asymmetric maximum likelihood (AML)
Asymmetric proximity matrices
Asymptotically unbiased estimator
Asymptotic distribution
Asymptotic efficiency
Asymptotic methods
Asymptotic relative efficiency
Atlas mapping
Atomistic fallacy
Attack rate
Attenuation
Attitude scaling
Attributable response function
Attributable risk
Attrition
AUC
Audit in clinical trials
Audit trail
Autocorrelation
Autocorrelation function
Autocovariance
Autocovariance function
Autoogistic regression
Automatic interaction detector (AID)
Autoregressive conditional heteroscedastic (ARCH) models
Autoregressive integrated movingverage models
Autoregressive model
Autoregressive movingverage model
Auxiliary variable techniques
Available case analysis
Average
Average age at death
Average deviation
Average linkage
Average man
Average sample number (ASN)
B
b632 method
Bk method
Babbage, Charles (1792–1871)
Backalculation
Backcasting
Backfitting
Back-projection
Back-to-back stem-and-leaf plots
Backward elimination procedure
Backward-loooking study
Backward shift operator
Baddeley’s metric
Bagging
Bagging predictions
Bagplot
Bahadur, Raghu Raj (1924–1997)
Balaam’s design
Balanced design
Balanced incomplete block design
Balanced incomplete repeated measures design (BIRMD)
Balanced longitudinal data
Balanced repeated replication (BRR)
Balancing score
Ballot theorem
BAN
Banach’s matchox problem
Bancroft, hairspTheodore hairspAlfonso (1907–1986)
Band matrix
Bandwidth
Barahona-Poon test
Bar chart
Barnard, George Alfred (1915–2002)
Barrett and Marshall model for conception
Bartholomew’s likelihood function
Bartlett decomposition
Bartlett, Maurice Stevenson (1910–2002)
Bartlett method
Bartlett’s adjustment factor
Bartlett’s identity
Bartlett’s test for eigenvalues
Bartlett’s test for variances
Baseline balance
Baseline characteristics
Baseline hazard function
BASIC
Basic reproduction number
Basu’s theorem
Bathtub curve
Battery reduction
Bayes factor
Bayesian confidence interval
Bayesian inference
Bayesian information criterion (BIC)
Bayesian model averaging
Bayesian network
Bayesian persuasion probabilities
Bayes, Reverend Thomas (1702–1761)
Bayes’ Theorem
BCa
Beattie’s procedure
Behrens–Fisher problem
Belief functions
Believe the negative rule
Believe the positive rule
Bell–Doksum test
Bellman–Harris process
Bell-shaped distribution
Benchmarking
Benchmarks
Benchmark dose
Benford distribution
Benini, Rodolpho (1862–1956)
Benjamin, Bernard (1910–2002)
Benjamini and Hochberg step-p methods
Bennett’s bivariate sign test
Bentler–Bonnett index
Berkson, Joseph (1899–1982)
Berkson’s fallacy
Berman’s diagnostic
Berman-Turner device
Bernoulli distribution
Bernoulli, Jacques (1654–1705) (also known as James or Jakob)
Bernoulli–Laplace model
Bernoulli numbers
Bernoulli trials
Bernstein polynomial prior
Bernstein Mises theorem
Berry–Esseen theorem
Berstein, Sergei Natanovich (1880–1968)
Bessel function distributions
Best asymptotically normal estimator (BAN)
Best linear unbiased estimator (BLUE)
Best linear unbiased predictor (BLUP)
Betainomial distribution
Beta coefficient
Beta distribution
Beta(ß)-error
Beta function
Beta-geometric distribution
Between groups matrix of sums of squares and cross-products
Between groups mean square
Between groups sum of squares
BGW
Bhattacharyya bound
Bhattacharyya’s distance
Bias
Bias-corrected percentile interval (BCa)
Bias/variance tradeoff
Biased coin method
Biased estimator
BIC
Bienaymé–Galton–Watson process (BGW)
Bienaymé, Jules (1796–1878)
Big Mac index
Bilinear loss function
Bimodal distribution
Binary variable
Binning
Binomial coefficient
Binomial confidence interval
Binomial confidence interval when no events are observed
Binomial distribution
Binomial failure rate model
Binomial index of dispersion
Binomial test
Bioassay
Bioavailability
Bioavailability study
Bioequivalence
Bioequivalence trials
Bioinformatics
(Bio)sequence analysis
Biostatistics
Biplots
Bipolar factor
BIRMD
Birnbaum, Allan (1923–1976)
Birnbaum–Saunders distribution
Birth-cohort study
Birthday problems
Birth–death process
Birth–death ratio
Birth defect registries
Birth rate
Biserial correlation
Bisquare regression estimation
Bit
Bivar criterion
Bivariate beta distribution
Bivariate boxplot
Bivariate Cauchy distribution
Bivariate data
Bivariate distribution
Bivariate exponential distribution
Bivariate Gumbel distribution
Bivariate normal distribution
Bivariate Oja median
Bivariate Pareto distribution
Bivariate Poisson distribution
Bivariate survival data
Bjerve, Petter Jakob (1914–2004)
Black, Arthur (1851–1893)
Blinder–Oaxaca method
Blinding
Bliss, Chester Ittner (1899–1979)
BLKL algorithm
Block
Block, Borges and Savits model
Block clustering
Blocking
Block randomization
Blomqvist model
BLUE
Blunder index
BLUP
BMA
BMDP
BMI
Body mass index (BMI)
Bolshev, Login Nikolaevich (1922–1978)
Bonferroni, Carlo Emilio (1892–1960)
Bonferroni correction
Boole’s inequality
Boosting
Bootstrap
Bootstrap sample
Borel–Tanner distribution
Borrowing effect
Bortkiewicz, Ladislaus von (1868–1931)
Bose, Raj Chandra (1901–1987)
Boundary estimation
Bowker, Albert Hosmer (1919–2008)
Bowker’s test for symmetry
Bowley, Arthur Lyon (1869–1957)
Box-and-whisker plot
Box-Behnken designs
Box-counting method
Box–Cox transformation
Box–Jenkins models
Box–Müller transformation
Box–Pierce test
Boxplot
Box’s test
Box–Tidwell transformation
Bradley, Ralph (1923–2001)
Bradley–Terry model
Branch-and-bound algorithm
Branching process
Brass, William (1921–99)
Breakdown point
Breiman, Leo (1928–2005)
Breslow–Day test
Breslow’s estimator
Breusch-pagan test
Bridge estimators
Bridging clinical trials
Brier score
Broadband smoothing
Broken-stick model
Brown–Forsythe test
Brownian motion
BRR
Brushing scatterplots
Bubble plot
Buckley–James method
Buehler confidence bound
Buffon’s needle problem
BUGS
Bump hunting
Burgess method
Burnn
Burr distributions
Bursty phenomena
Burt matrix
Butler statistic
BW statistic
Byar, D. P. (1938–1991)
Byte
C
C
C++
CACE
Calendar plot
Calendarization
Calibration
Calibration curve
Caliper matching
Campion, Sir Harry (1905–1996)
Canberra metric
CAN estimator
Canonical correlation analysis
Canonical discriminant functions
Canonical variates
Cantelli, Francesco Paolo (1875–1966)
Capture–recapture sampling
CAR
Cardano, Girolamo (1501–1576)
Cardiord distribution
Carryover effects
CART
Cartogram
Cascaded parameters
Caseohort study
Caseontrol study
Case series
Catastrophe theory
Categorical variable
Categorizing continous variables
Cauchy, Augustin-Louis (1789–1857)
Cauchy distribution
Cauchy integral
Cauchy–Schwarz inequality
Causality
Cause specific death rate
CCF
Ceiling effect
Cellular proliferation models
Censored observations
Censored regression models
Census
Centering
Centile
Centile reference charts
Centralized database
Central limit theorem
Central range
Central tendency
Centroid method
CEP
CER
CERES plot
CFA
CHAID
Chain-binomial models
Chaining
Chain-of-events data
Chains of infection
Chalmers, Thomas Clark (1917–1995)
Champernowne, David Gawen (1912–2000)
Chance events
Change point problems
Change scores
Chaos
Chapman–Kolmogoroff equation
Chapman’s estimator
Characteristic function
Characteristic root
Characteristic vector
Chebyshev–Hermite polynomial
Chebyshev, Pafnuty Lvovich (1821–1894)
Chebyshev’s inequality
Chemometrics
Chernoff’s faces
Chinese restaurant process (CRP)
Chiar squared distribution
Chi-plot
Chi-squared automated interaction detector (CHAID)
Chi-squared distance
Chi-squared distribution
Chi-squared probability plot
Chi-squared statistic
Chi-squared test for trend
Choi-Williams distribution
Choleski decomposition
Chow test
Christmas tree boundaries
Chronology plot
Chronomedicine
Chuprov, Alexander Alexandrovich (1874–1926)
Circadian variation
Circular data
Circular distribution
Circular probable error
Circular random variable
City-block distance
Class frequency
Classical scaling
Classical statistics
Classification and regression tree technique (CART)
Classification matrix
Classification rule
Classification techniques
Class intervals
Clemmesen’s hook
Cliff and Ord’s BW statistic
Clinical epidemiology
Clinical priors
Clinical trials
Clinical vs statistical significance
Clopper–Pearson interval
Closed sequential design
ClustanGraphics
Cluster
Cluster analysis
Clustered binary data
Clustered data
Cluster randomization
Cluster sampling
Cluster-specific models
Cmax
Coale–Trussell fertility model
Coarse data
Coarsening at random (CAR)
Cobb–Douglas distribution
Cochran, William Gemmell (1909–1980)
Cochran-Armitage test
Cochran’s C-test
Cochran’s Q-test
Cochran’s Theorem
Cochrane, Archibald Leman (1909–1988)
Cochrane collaboration
Cochrane–Orcutt procedure
Codominance
Coefficient of alienation
Coefficient of concordance
Coefficient of determination
Coefficient of racial likeness (CRL)
Coefficient of variation
Coefficient sign prediction methods
Coherence
Cohort
Cohort component method
Cohort study
Coincidences
Cointegration
Collapsing categories
Collective risk models
Collector’s problem
Collinearity
Collision test
Combining conditional expectations and residuals plot (CERES)
Combining pues
Comingling analysis
Commensurate variables
Common cause failures (CCF)
Common factor
Common factor variance
Common principal components analysis
Communality
Community controls
Community intervention study
Co-morbidity
Comparative calibration
Comparative exposure rate
Comparative trial
Comparison group
Comparison wise error rate
Compartment models
Compensatory equalization
Competing risks
Complementary events
Complementary log–log transformation
Complete case analysis
Complete ennumeration
Complete estimator
Complete linkage cluster analysis
Completely randomized design
Completeness
Complete spatial randomness
Complex Bingham distributions
Complex survey data
Compliance
Complier average causal effect (CACE)
Component bar chart
Component-plus-residual plot
Composite estimators
Composite hypothesis
Composite indicators
Composite likelihoods
Composite sampling
Compositional data
Compound binomial distribution
Compound decision problem
Compound distribution
Compound symmetry
Computational complexity
Computer-aided diagnosis
Computer algebra
Computer-assisted interviews
Computer-intensive methods
Computer virus
Concentration matrix
Concentration measure
Concomitant variables
Concordant mutations test
Conditional distribution
Conditional independence graph
Conditional likelihood
Conditional inference
Conditional logistic regression
Conditional mortality rate
Conditional probability
Condition number
Conference matrix
Confidence interval
Confidence profile method
Confirmatory data analysis
Confirmatory factor analysis
Confounding
Confusion matrix
Congruential methods
Conjoint analysis
Conjugate prior
Conover test
Conservative and nononservative tests
Consistency
Consistency checks
Consolidated Standards for Reporting Trials (CONSORT) statement
CONSORT statement
Consumer price index (CPI)
Contagious distribution
Contaminated normal distribution
Contingency coefficient
Contingency tables
Continual reassessment method
Continuity correction
Continuous proportion
Continuous screen design
Continuous time Markov chain
Continuous time stochastic process
Continuous variable
Continuum regression
Contour plot
Contrast
Control chart
Control group
Controlled trial
Control statistics
Convenience sample
Convergence in probability
Convex hull
Convex hull trimming
Convolution
Conway–Maxwell–Poisson distribution
Cook’s distance
Cooperative study
Cophenetic correlation
Coplot
Copulas
Cornfield, Jerome (1912–1979)
Cornish, Edmund Alfred (1909–1973)
Correlated binary data
Correlated failure times
Correlated risks
Correlated samples t-est
Correlation
Correlation coefficient
Correlation coefficient distribution
Correlation matrix
Correlation matrix distribution
Correlogram
Correspondence analysis
Cosine distribution
Cosinor analysis
Cospectrum
Costenefit analysis
Cost-effectiveness analysis
Cost-effectiveness ratio (CER)
Cost of living extremely well index
Count data
Counter-matching
Counternull value
Counting process
Courant–Fisher minimax theorem
Covariance
Covariance inflation criterion
Covariance matrix
Covariance-regularized regression
Covariance structure models
Covariates
COVRATIO
Cowles’ algorithm
Cox–Aalen model
Cox, Gertrude Mary (1900–1978)
Cox–Mantel test
Cox-Plackett model
Cox–Snell residuals
Cox-Spjøtvoll method
Coxian-2 distribution
Cox’s proportional hazards model
Cox’s test of randomness
Craig’s theorem
Cramér, Harald (1893–1985)
Cramér–Rao inequality
Cramér–Rao lower bound
Cramér’s V
Cramér–von Mises statistic
Cramér–von Mises test
Craps test
Credible region
Credibility theory
Credit scoring
Creedy and Martin generalized gamma distribution
Cressie–Read statistic
Crissross design
Criteria of optimality
Critical region
Critical value
CRL
Cronbach’s alpha
Cross-correlation function
Cross-covariance function
Crossed treatments
Crossover design
Crossover rate
Cross-sectional study
Cross-spectral density
Crossidation
CRP
Crude annual death rate
Crude risk
Cube law
Cubic spline
Cultural assortment
Cumulant generating function
Cumulants
Cumulative distribution function
Cumulative frequency distribution
Cumulative hazard function
Cumulative probability distribution
Cure models
Current status data
Curse of dimensionality
Curvature measures
Curve registration
Cusum
Cuthbert, Daniel (1905–1997)
Cuzick’s trend test
Cycle
Cycle hunt analysis
Cycle plot
Cyclic designs
Cyclic variation
Czekanowski coefficient
D
DAG
D’Agostino’s test
DALYs
Daniels, Henry (1912–2000)
Darling test
Dantzig selector
Darmois-Skitovitch’s theorem
Data
Data archives
Data augmentation
Data augmentation algorithm
Database
Database management system
Data depth
Data dredging
Data editing
Data fusion
Data hairspgenerating mechanism (DGM)
Data intrusion simulation
Data matrix
Data mining
Data hairspmonitoring hairspcommittees (DMC)
Data perturbation
Data reduction
Data science
Data screening
Data set
Data smoothing algorithms
Data squashing
Data swapping
Data tilting
Data theory
Data vizualization
David, Florence Nightingale (1909–1993)
Davies–Quade test
Death rate
Debugging
Deciles
Decision function
Decision theory
Decision tree
Deep models
De Finetti, Bruno (1906–1985)
DeFries–Fulker analysis
Degenerate distributions
Degrees of freedom
Delay distribution
Delayed entry
Delta(d) method
Deming, Edwards (1900–1993)
Demography
De Moivre, Abraham (1667–1754)
De Moivre–Laplace theorem
Dendrogram
Density estimation
Density function
Density ratio model
Density sampling
Denton method
Dependent variable
Deprivation indices
Descriptive statistics
Designased inference
Design effect
Design hairspmatrix
Design regions
Design rotatability
Design set
Detection bias
Detection limits
Determinant
Deterministic model
DETMAX
Detrending
Deviance
Deviance information criterion (DIC)
Deviance residuals
Deviate
DeWitt, Johan (1625–1672)
DF(df)
DFBETA
DFFITS
DGM
Diagnostic key
Diagnostics
Diagnostic tests
Diagonal matrix
Diary survey
DIC
Dichotomous variable
Dickey-Fuller test
Dieulefait, Carlos Eugenio (1901–1982)
Differencesnifferences estimator
Differences vs totals plot
Differencing
Diggle–Kenward model for dropouts
Digit preference
Digraph
DIP test
Directed acyclic graph
Directed deviance
Directed graph
Directional data
Directional neighbourhoods approach (DNA)
Direct matrix product
Direct standardization
Dirichlet distribution
Dirichlet process
Dirichlet process mixture models
Dirichlet tessellation
Disability adjusted life years (DALYs)
Disclosure risk
Discrete rectangular distribution
Discrete time Markov chain
Discrete time stochastic process
Discrete uniform distribution
Discrete variables
Discrete wavelet transform (DWT)
Discriminant analysis
Discrimination information
Disease clusters
Disease mapping
Disease surveillance
Dispersion
Dispersion parameter
Dissimilarity coefficient
Dissimilarity matrix
Distance measure
Distance sampling
Distributed database
Distribution free methods
Distribution function
Divide-by-total models
Divisive clustering
Dixon, Wilfred J. (1915–2008)
Dixon test
DMC
Doane’s rule
Dodge, Harold (1893–1976)
Dodge’s continuous sampling plan
Doll, Sir Richard (1912–2005)
Doob–Meyer decomposition
Dptimal design
Doran estimator
Dorfman–Berbaum–Metz method
Dorfman scheme
Dose-ranging trial
Dose–response curve
Dot plot
Double-blind
Double-centred matrices
Double-count surveys
Double-dummy technique
Double-exponential distribution
Double-masked
Double reciprocal plot
Double sampling
Doubly censored data
Doubly multivariate data
Doubly ordered contingency tables
Downton, Frank (1925–1984)
Dragstedt–Behrens estimator
Draughtsman’s plot
Drift
Drift parameter
Dropout
Drug stability studies
Dual scaling
Dual system estimates
Dummy variables
Duncan’s test
Dunnett’s test
Dunn’s test
Duration dependence
Duration time
Durbin–Watson test
Dutch book
Dvoretzky-Kiefer-Wolfowitz inequality
Dynamic allocation indices
Dynamic graphics
Dynamic panel data model
Dynamic population
Dynamic population modelling
E
E
Early detection program
EAST
Eberhardt’s statistic
EBM
ECM algorithm
ECME algorithm
Ecological fallacy
Ecological statistics
Econometrics
EDA
ED50
Edgeworth, Francis Ysidro (1845–1926)
Edgeworth’s form of the Type A series
Effect
Effect coding
Effective sample size
Effect size
Effect sparsity
Efficiency
EGRET
Ehrenberg’s equation
Eigenvalues
Eigenvector
Eisenhart, Churchill (1913–1994)
Electronic mail
Elfving, Erik Gustav (1908–1984)
Elliptically symmetric distributions
Email
EM algorithm
Empirical
Empirical Bayes method
Empirical distribution function
Empirical likelihood
Empirical logits
Empirical variogram
End-aversion bias
Endogenous variable
Endpoint
Engel, Ernst (1821–1896)
Entropy
Entropy measure
Environmental statistics
E-optimal design
Epanechnikov kernel
Epidemic
Epidemic chain
Epidemic curve
Epidemic model
Epidemic threshold
Epidemiology
Epi Info
EPILOG PLUS
EPITOME
Epstein test
Equipoise
EQS
Ergodicity
Erlang distribution
Error distribution
Error mean square
Error rate
Error rate estimation
Errors-in-variables problem
Errors of classification
Errors of the third kind
Estimand
Estimate
Estimating functions
Estimation
Estimator
Etiological fraction
Euclidean distance
EU model
Evaluable patients
Event history data
Evidenceased medicine (EBM)
Excel
Excess hazards model
Excess risk
Exchangeability
Exhaustive
Exogeneous variable
Expectation surface
Expected frequencies
Expected value
Experimental design
Experimental study
Experimentwise error rate
Expert systems
Explanatory analysis
Explanatory trials
Explanatory variables
Exploratory data analysis
Exploratory factor analysis
Exponential autoregressive model
Exponential distribution
Exponential family
Exponentially weighted moving average control chart
Exponential order statistics model
Exponential power distribution
Exponential trend
Exposure effect
Exposure factor
Extra binomial variation
Extraim analysis
Extrapolation
Extremal quotient
Extreme standardized deviate
Extreme value distribution
Extreme values
Extrinsic aliasing
Eyeball test
F
Facets
Factor
Factor analysis
Factorial designs
Factorial moment generating function
Factorial moments
Factorization theorem
Factor loading
Factor rotation
Factor scores
Factor sparsity
Failure record data
Failure time
Fair game
False discovery rate (FDR)
False-negative rate
False-positive rate
Familial correlations
Familywise error rate
Fan plot
Fan-spread model
Farr, William (1807–1883)
Fast Fourier transformation (FFT)
Father wavelet
Fatigue models
F-distribution
Feasible generalized least squares (FGLS) estimator
Feasibility study
Feedorward network
Feller, William (1906–1970)
FFT
FGLS estimator
Fibonacci distribution
Fiducial inference
Field plot
Fieller’s theorem
File drawer problem
Final-state data
Finite mixture distribution
Finite population
Finite population correction
First-order autoregressive model
First-order Markov chain
First passage time
Fisher combination test
Fisher, Irving (1867–1947)
Fisher’s exact test
Fisher’s g statistic
Fisher’s information
Fisher’s information matrix
Fisher’s linear discriminant function
Fisher’s scoring method
Fisher, Sir Ronald Aylmer (1890–1962)
Fisher’s z transformation
Fishing expedition
Fitted value
Five-number summary
Fixed effects
Fixed effects model
Fixed population
Fix–Neyman process
Fleiss, Joseph (1937–2003)
Flingner–Policello test
Fligner–Wolfe test
Floor effect
Flowhart
Folded log
Folded normal distribution
Folded square root
Foldover design
Foldover frequency
Flog
Focus groups
Folk theorem of queueing behaviour
Follmann’s test
Followback surveys
Follow-up
Follow-up plots
Force of mortality
Forecast
Forest plot
Forward-looking study
Forward selection procedure
Fourfold table
Fourier coefficients
Fourier series
Fourier transform
Fractal
Fractal dimension
Fractional factorial design
Fractional polynomials
Frailty
Frailty model
Frank’s family of bivariate distributions
Frechet bounds
Freedman, David A. (1938–2008)
Freeman–Tukey test
Freeman–Tukey transformation
Frequency distribution
Frequency polygon
Frequentist inference
Friedman’s two-way analysis of variance
Friedman’s urn model
Frindall, William Howard (1939–2009)
Frisch, Ragnar Anton Killi (1895–1973)
Froot
F-test
F-to-enter
F-to-remove
Full model
Functional data analysis
Functional principal components analysis
Functional relationship
Funnel plot
FU-plots
Future years of life lost
Fuzzy set theory
G
G2
Gabor regression
Gain
Galbraith plot
Galton, Sir Francis (1822–1911)
Galton–Watson process
GAM
Gambler’s fallacy
Gambler’s ruin problem
Gambling
Game theory
Gamma distribution
Gamma function
Gap statistic
Gap-straggler method
Gap time
Garbage in garbage out
Gardner, Martin (1940–1993)
GAUSS
Gauss, Karl Friedrich (1777–1855)
Gaussian distribution
Gaussian Markov random field
Gaussian process
Gaussian quadrature
Gaussian random field
Gauss–Markov theorem
Gauss-Newton method
Geary’s ratio
GEE
Gehan’s generalized Wilcoxon test
Geisser, Seymour (1929–2004)
Gene
Gene-environment interaction
Gene frequency estimation
Gene mapping
General Household Survey
General location model
Generalizability theory
Generalized additive mixed models (GAMM)
Generalized additive models
Generalized distance
Generalized estimating equations (GEE)
Generalized gamma distribution
Generalized least squares (GLS)
Generalized linear mixed models (GLMM)
Generalized linear models
Generalized method of moments (GMM)
Generalized multinomial distribution
Generalized odds ratio
Generalized p-values
Generalized Poisson distribution
Generalized principal components analysis
Generalized Procrustes analysis
Generalized variance
Genetic algorithms
Genetic epidemiology
Genetic heritability
Genomics
Genotype
Genotypic assortment
GENSTAT
Geographical analysis machine
Geographical correlations
Geographical information system (GIS)
Geometric distribution
Geometric mean
Geostatistics
G-estimator
GGobi
Gibbs sampling
Gini concentration
Gini, Corrado (1884–1965)
Gini index
GIS
Gittins indices
Glejser test
GLIM
Glivenko-Cantelli theorem
GLLAMM
GLM
GLMM
GLS
Glyphs
Gnedenko, Boris (1912–1995)
Goelles, Josef (1929–2000)
Golden–Thompson inequality
Goldfeld–Quandt test
Gold standard trials
Golub, Gene Howard (1932–2007)
Gompertz curve
Good, Irving John (1916–2009)
Goodman and Kruskal measures of association
Goodness-of-fit statistics
Good’s method
Gossett, William Sealy (1876–1937)
Goulden, Cyril Harold (1897–1981)
Gower’s similarity coefficient
Grade of membership model
Graduation
Graeco-Latin square
Gram–Charlier Type A series
Gramian matrix
Grand mean
Granger causality
Granger, Sir Clive William John (1934–2009)
Graphical deception
Graph theory
Graunt, John (1620–1674)
Greatest characteristic root test
Greenberg, Bernard George (1919–1985)
Greenhouse–Geisser correction
Greenhouse, Samuel (1918–2000)
Greenwood, Major (1880–1949)
Greenwood’s formula
Gripenberg estimator
Group average clustering
Group divisible design
Grouped binary data
Grouped data
Group matching
Group sequential design
Growth charts
Growth curve
Growth curve analysis
Growth rate
Grubb’s estimators
GT distribution
Guarantee time
Gumbel distribution
Gumbel, Emil Julius (1891–1966)
Gupta’s selection procedure
Guttman, Louis (1916–1987)
Guttman scale
Guy, William Augustus (1810–1885)
H
H0
H1
Haavelmo,thinsp Trygve Magnus (1911–1999)
Haar wavelet
Hadamard matrix
Haenszel, William (1910–1998)
Hajek, Jaroslav (1926–1974)
Hajnal, John (1924–2008)
Hald, Anders (1913–2007)
Haldane’s estimator
Halfode
Halformal distribution
Halformal plot
Halo effect
Halperin, Max (1917–1988)
Hanging rootogram
Hankel matrix
Hannan, Edward James (1921–1994)
Hansen–Hurwitz estimator
Hansen, Morris Howard (1910–1990)
Haplotype
Haplotype analysis
Hardy–Weinberg law
Harmonic analysis
Harmonic mean
Harrington and Fleming Gp tests
Harris and Stevens forecasting
Harris walk
Hartley, Herman Otto (1912–1980)
Hartley’s test
Hat matrix
Haugh’s test
Hausdorff dimension
Hausman misspecification test
Hausman-Taylor estimator
Hawthorne effect
Hazard function
Hazard plotting
Hazard regression
Head-banging smoother
Heady, James Austin (1917–2004)
Healthy life expectancy (HLAE)
Healthy worker effect
Heckman selection model
Hellinger distance
Hello-goodbye effect
Helmert contrast
Helsinki declaration
Herbicide bioassay
Hess, Irene (1910–2009)
Herfindahl index
Hermite functions
Hermite polynomials
Herzberg’s formula
Hessian matrix
Heterogeneous
Heteroscedasticity
Hettmansperger–McKean test
Heuristic computer program
Heywood cases
Hidden Markov models
Hidden periodicities
Hidden time effects
Hierarchical clustering
Hierarchical design
Hierarchical likelihood
Hierarchical models
Higgins’s law
High breakdown methods
High-dimensional data
Higher criticism
Highest posterior density region
High-throughput data
Hill, Austin Bradford (1897–1991)
Hilll-climbing algorithm
Hinge
Histogram
Historical controls
Historical prospective studies
Hit rate
H-likelihood
HLM
Hodges–Lehmann estimator
Hoeffding test
Hoeffding’s inequality
Hoeffding, Wassily (1914–1991)
Hogben, Lancelot (1895–1975)
Holdout estimate
Holdover effect
Holgate, Philip (1934–1993)
Hollander test
Homogeneous
Horseshoe shape
Horvitz–Thompson estimator
Hosmer-Lemeshow test
Hospital controls
Hot deck
Hotelling, Harold (1895–1973)
Hotelling–Lawley trace
Hotelling’s T2 test
Hot hand hypothesis
Household interview surveys
Hsu, Pao-u (1910–1970)
Huberized estimator
Huber’s condition
Human capital model
Human height growth curves
Hurdle model
Huynh–Feldt correction
Hybrid log-normal distribution
Hyperbolic distributions
Hyperexponential distribution
Hypergeometric distribution
Hyperparameter
Hyperprior
Hypothesis testing
I
ICM
IDA
Idempotent matrix
Identification
Identification keys
Identity matrix
Idle column method
Ignorability
Ill conditioned matrix
Image restoration
Immigration-emigration models.
Immune proportion
Imperfect detectability
Importance sampling
Imprecise probabilities
Improper prior distribution
Imputation
IMSL STAT/LIBRARY
Incidence
Incidental parameter problem
Inclusion and exclusion criteria
Inclusion probability
Incomplete beta function
Incomplete block design
Incomplete contingency tables
Incomplete gamma function
Incubation period
Independence
Independent component analysis (ICA)
Independent samples t-test
Independent variables
Index of thinspclumping
Index of thinspdispersion
Index number
Index plot
Indian buffet process
Indicator variable
Indirect least squares
Indirect standardization
Individual differences scaling
INDSCAL
Infant mortality rate
Infectious period
Inference
Infertile worker effect
Infinitely divisible distribution
Influence
Influence statistics
Influential observation
Information matrix
Information theory
Informative censoring
Informative missing values
Informative prior
Informed consent
Initial data analysis (IDA)
Inliars
Inliers
Innovational outlier
Instantaneous count procedure
Instantaneous death rate
Institutional surveys
Instrumental variable estimator
Integrated hazard function
Intention-o-reat analysis
Interaction
Intercept
Intercropping experiments
Interim analyses
Interior analysis
Interpolation
Interquartile range
Interrupted time series design
Interruptible designs
Intervalensored observations
Interval estimate
Interval estimation
Interval variable
Intervened Poisson distribution
Intervention analysis in time series
Intervention study
Interviewer bias
Intraclass contingency table
Intraclass correlation
Intrinsic aliasing
Intrinsically non-linear models
Intrinsic error
Intrinsic rate of natural increase
Invariance
Inverse Bernoulli sampling
Inverse distribution function
Inverse Gaussian distribution
Inverse normal distribution
Inverse polynomial functions
Inverse sine transformation
Inverse survival function
Inversion theorem
Inverted thinspWishart thinspdistribution
IRLS
Irreducible chain
Irwin–Hall distribution
Irwin, Joseph Oscar (1898–1982)
Ising–Stevens distribution
Isobole
Isobologram
Isotonic regression
Item difficulty
Item non-response
Item-response theory
Item-total correlation
Iterated bootstrap
Iterated conditional modes algorithm (ICM)
Iteration
Iteratively reweighted least squares (IRLS)
Iterative thinspproportional thinspfitting
J
Jaccard coefficient
Jackknife
Jacobian leverage
James–Stein estimators
Jeffreys’s distance
Jeffreys, Sir Harold (1891–1989)
Jeffreys’s prior
Jelinski–Moranda model
Jenkins, Gwilym Meirion (1933–1982)
Jensen’s inequality
Jewell’s estimator
Jittered sampling
Jittering
Johnson-Neyman technique
Johnson’s system of distributions
Joint distribution
Jolly–Seber model
Jonckheere, Aimable Robert (1920–2005)
Jonckheere’s k-ample test
Jonckheere–Terpstra test
J-shaped distribution
Just identified model
K
(k1, k2)-design
Kalman filter
Kaiser’s rule
Kaplan–Meier estimator
Kappa coefficient
Karber method
KDD
Kellerer, Hans (1902–1976)
Kempthorne, Oscar (1919–2000)
Kempton, Rob (1946–2003)
Kendall’s coefficient of concordance
Kendall, Sir Maurice George (1907–1983)
Kendall’s tau statistics
Kernel density estimators
Kernel estimators
Kernel function
Kernel regression smoothing
Khamis, Salem (1919–2005)
Khinchin theorem
Kish, Leslie (1910–2000)
Kitagawa, Tosio (1909–1993)
Kleiner–Hartigan trees
Klotz test
K-means cluster analysis
K-means inverse regression
Knots
Knowledge discovery in data bases (KDD)
Knox’s tests
Kolmogorov, Andrei Nikolaevich (1903–1987)
Kolmogorov–Smirnov two-ample method
Korozy, Jozsef (1844–1906)
Kovacsics, Jozsef (1919–2003)
KPSS test
Kriging
Kronecker product of matrices
Kruskal–Wallis test
k-statistics
Kuiper’s test
Kullback–Leibler information
Kurtosis
Kurtosis procedure
Kwiatkowski-hillips-chmidt-hin test (KPSS test)
L
L’Abbé plot
Labour force survey
Lack of memory property
Ladder of re-expression
Lagging indicators
Lagrange multipliers
Lagrange multiplier test
Lancaster, Henry Oliver (1913–2001)
Lancaster models
Landmark analysis
Landmark-based shape analysis
Landmark registration
Laplace approximation
Laplace distribution
Laplace, Pierre-imon, Marquis de (1749–1827)
Large sample methods
Lasagna’s law
Lasso
Last observation carried forward
Latent class analysis
Latent class identifiability display
Latent period
Latent root distributions
Latent roots
Latent variable
Latent vectors
Latin hypercube sampling (LHS)
Latin square
Lattice designs
Lattice distribution
Lattice square
Law of large numbers
Law of likelihood
Law of primacy
Law of truly large numbers
LD50
LDU test
Lead time
Lead time bias
Leaps-and-bounds algorithm
Least absolute deviation regression
Least significant difference test
Least squares cross-validation
Least squares estimation
Leave-one-out estimator
LeCam, Lucien (1924–2000)
Left-censored
Lehmann, Erich Leo (1917–2009)
Length-biased data
Length-biased sampling
Lenth’s method
Lepage test
Leptokurtic curve
Leslie matrix model
Lethal dose 50
Levene test
Leverage points
Lévy concentration function
Lévy distribution
Lévy, Paul-ierre (1886–1971)
Lévy process
Lexian distributions
Lexicostatistics
Lexis diagram
Lexis, Wilhelm (1837–1914)
Liapunov, Alexander Mikhailovich (1857–1918)
Liddell, Francis Douglas Kelly (1924–2003)
Lie factor
Life expectancy
Life table
Life table analysis
Lifting scheme
Likelihood
Likelihood distance test
Likelihood principle
Likelihood ratio test
Likert, Rensis (1903–1981)
Likert scales
Lilliefors test
Lim–Wolfe test
Lindley’s paradox
Linear birth process
Linear-by-linear association test
Linear-circular correlation
Linear estimator
Linear filters
Linear function
Linearizing
Linear logistic regression
Linearly separable
Linear model
Linear parameter
Linear regression
Linear transformation
Linear trend
Line-intersect sampling
Lineweaver–Burk equation
Linkage analysis
Linked micromap plot
Link function
Linnik distribution
Linnik, Yuri Vladimirovich (1915–1972)
LISREL
Literature controls
Loading matrix
Lobachevsky distribution
Local dependence fuction
Locally weighted regression
Local odds ratio
Location
LOCF
Lods
Lod score
Loess
Loewe additivity model
Logarithmic series distribution
Logarithmic transformation
Log-cumulative hazard plot
Log-F accelerated failure time model
Logistic distribution
Logistic growth model
Logistic normal distributions
Logistic regression
Logistic transformation
Logit
Logit confidence limits
Logit rank plot
Log-likelihood
Log-linear models
Lognormal distribution
Logrank test
LOGXACT
Lomb periodogram
Longini–Koopman model
Longitudinal data
Longitudinal studies
Long memory processes
Long-range dependence
Lord, Frederic Mather (1912–2000)
Lord’s paradox
Lorenz curve
Loss function
Lotteries
Low-dose extrapolation
Lower triangular matrix
LSD
LST
L-tatistics
Luganni and Rice formula
Lyapunov exponent
Lynden–Bell method
M
Machine learning
Mack–Wolfe test
MAD
MADAM
Mahalanobis D2
Mahalanobis, Pransanta Chandra (1893–1972)
Mahalonobis-aguchi system
Main effect
Mainframes
Mainland, Donald (1902–1985)
Majority rule
Mallows’ Cp statistic
Malthus, Thomas Robert (1766–1834)
Malthusian parameter
Mandel, John (1914–2007)
Manhattan distance
Manifest variable
Mann–Whitney test
MANOVA
Mantel, Nathan (1919–2002)
Mantel–Haenszel estimator
Many-outlier detection procedures
MAP estimate
Maple
Mardia’s multivariate normality test
MAREG
Marginal distribution
Marginal homogeneity
Marginal likelihood
Marginal matching
Marginal models
Marginal structural model (MSM)
Marginal totals
Markers of disease progression
Market model
Markov, Andrey Andreyevich (1856–1922)
Markov chain
Markov chain Monte Carlo methods (MCMC)
Markov illness–death model
Markov inequality
Markov process
Marquis of Lansdowne (1780–1863)
MARS
Martingale
Masking
Matched case-control study
Matched pairs
Matched pairs t-test
Matched set
Matching
Matching coefficient
Matching distribution
Maternal mortality
Mathematica
Mathisen’s test
Matrix exponential transformation
Mauchly test
MAVE method
Maximum a posteriori estimate (MAP)
Maximum entropy principle
Maximum F-ratio
Maximum likelihood estimation
Maximum likelihood estimator
Maximum normed residual
Maxwell, Albert Ernest (1916–1996)
Mayo-Smith, Richard (1854–1901)
MAZ experiments
MCAR
McCabe–Tremayne test
MCMC
MCML
McNemar’s test
MCP
MDL
MDP
MDS
Mean
Mean and dispersion additive model (MADAM)
Mean deviation
Mean-range plot
Mean square contingency coefficient
Mean squared error
Mean square error estimation
Mean square ratio
Mean squares
Mean vector
Measurement error
Measures of association
Median
Median absolute deviation (MAD)
Median centre
Median effective dose
Median lethal dose
Median survival time
Median unbiased
Medical audit
MEDLINE
Mega-trial
Meiotic mapping
Mendelian randomization
Merrell, Margaret (1900–1995)
Mesokurtic curve
M-estimators
Meta-analysis
Meta regression
Method of moments
Method of statistical differentials
Metric inequality
Metric trimming
Metric Winsorizing
Metropolis–Hastings algorithm
Michael’s test
Michaelis–Menten equation
Microarrays
Microdata
Mid P-value
Mid-range
Midvariance
Migration process
Mills ratio
MIMIC model
Minimal sufficient statistic
Minimax rule
Minimization
Minimum aberration criterion
Minimum average variance estimation (MAVE) method
Minimum chi-squared estimator
Minimum convex polygon
Minimum description length (MDL)
Minimum distance probability (MDP)
Minimum spanning tree
Minimum variance bound
Minimum volume ellipsoid
MINITAB
Minkowski distance
Mirror-match bootstrapping
Misclassification error
Mis-interpretation of Pues
Missing at random (MAR)
Missing completely at random (MCAR)
Missing information principle
Missing values
Misspecification
Mitofsky–Waksberg scheme
Mitscherlich curve
Mixed data
Mixed-effects logistic regression
Mixed effects models
Mixture–amount experiment
Mixture distribution
Mixture experiment
Mixture transition distribution model
MLE
MLwiN
Mode
Model
Modelased inference
Model building
Mojena’s test
Moment generating function
Moments
Moments of the correlation matrix determinant
Moments of the generalized variance
Monotonic decreasing
Monotonic increasing
Monotonic regression
Monotonic sequence
Monte Carlo maximum likelihood (MCML)
Monte Carlo methods
Monty Hall problem
Mood’s test
Moore–Penrose inverse
Moral graph
Moran, Patrick Alfred Pierce (1917–1988)
Moran’s I
Morbidity
Morgenstern’s hypothesis
Morgenstern’s uniform distribution
Morphometrics
Mortality
Mortality odds ratio
Mortality rate
Mosaic displays
Most powerful test
Most probable number
Mosteller, Frederick (1916–2008)
Mother wavelet
Mover–stayer model
Moving average
Moving average process
Moyal, Jose Enriqué (1910–1998)
Mplus
MTMM
Muller-Griffiths procedure
Multicentre study
Multicollinearity
Multidimensional scaling (MDS)
Multidimensional unfolding
Multiepisode models
Multi-hit model
Multilevel models
Multimodal distribution
Multinomial coefficient
Multinomial distribution
Multinomial logit model
Multinomial logistic regression
Multinormal distribution
Multiphasic screening
Multiple comparison tests
Multiple correlation coefficient
Multiple endpoints
Multiple-frame surveys
Multiple imputation
Multiple indicator multiple cause model (MIMIC)
Multiple linear regression
Multiple regression
Multiple time response data
Multiple time series
Multiplication rule for probabilities
Multiplicative intensity model
Multiplicative model
MULTISCALE
Multistage sampling
Multistate models
Multitaper spectral estimators
Multitrait–multimethod model (MTMM)
Multivariate adaptive regression splines (MARS)
Multivariate analysis
Multivariate analysis of variance
Multivariate Bartlett test
Multivariate Cauchy distribution
Multivariate counting process
Multivariate data
Multivariate distribution
Multivariate growth data
Multivariate hypergeometric distribution
Multivariate kurtosis measure
Multivariate normal distribution
Multivariate power exponential distribution
Multivariate probit analysis
Multivariate skew-normal distribution
Multivariate Student’s tistribution
Multivariate time series
Multivariate ZIP model (MZIP)
Mutation distance
Mutually exclusive events
MYCIN
MZIP
N
Nadaraya-Watson estimator
NAG
Naor’s distribution
National lotteries
Natural-pairing
Nearesteighbour clustering
Nearesteighbour methods I
Nearesteighbour methods II
Necessarily empty cells
Negative binomial distribution
Negative exponential distribution
Negative hypergeometric distribution
Negative multinominal distribution
Negative predictive value
Negative skewness
Negative study
Negative synergism
Neighbourhood controls
Nelder–Mead simplex algorithm
Nelson–Aalen estimator
Nested case-control study
Nested design
Nested model
Network
Network sampling
Neural networks
Newman–Keuls test
Newton–Raphson method
Neyman, Jerzy (1894–1981)
Neyman–Pearson lemma
Neyman-Rubin causal framework
Neyman smooth test
Nightingale, Florence (1820–1910)
NLM
NOEL
N of 1 clinical trial
No free lunch theorem
Noise
Nominal significance level
Nominal variable
Nomogram
Noncentral chi-squared distribution
Noncentral distributions
Noncentral F-distribution
Noncentral hypergeometric distribution
Noncentral t-distribution
Non-compliance
Nondifferential measurement error
Non-Gaussian time series
Non-identified response
Noninferiority trial
Non-informative censoring
Non-informative prior distribution
Nonlinear mapping (NLM)
Nonlinear model
Nonlinear regression
Nonlinear time series
Nonmasked study
Nonmetric scaling
Nonnegative garrotte
Nonparametric Bayesian models
Nonparametric maximum likelihood (NPML)
Non-orthogonal designs
Nonparametric analysis of covariance
Nonparametric methods
Nonparametric regression modelling
Non-randomized clinical trial
Non-response
No-observed-effect level (NOEL)
Norm
Normal approximation
Normal distribution
Normal equations
Normal equivalent deviate
Normality
Normal probability plot
Normal range
Normal scores
Normal scores test
Normit
NORMIX
nQuery advisor
Nuisance parameter
Null distribution
Null hypothesis
Null matrix
Null vector
Number needed to treat
Number numbness
Number of partitions
Numerical integration
Numerical taxonomy
Nuremberg code
Nyquist frequency
O
Oblique factors
O’Brien–Fleming method
O’Brien’s two-sample tests
Observational study
Observation-driven model
Observed-score equating
Obuchowski and Rockette method
Occam’s razor
Occam’s window
Occupancy problems
Odds
Odds ratio
Offset
Offspring distribution
Ogawa, Junjiro (1915–2000)
Ogive
Oja median
O. J. Simpson paradox
Oliveira, José Tiago da Fonseca (1928–1993)
Olkin and Tate model
OLS
Omitted covariates
Omori’s law
One-bend transformation
One-compartment model
One-dimensional random walk
One-hit model
Onem (1m) matching
One-sided test
One-step method
One-step transition probability
One-tailed test
One-way design
Open label study
Open sequential design
Operational research
Opinion survey
Optimal scaling
Optimization methods
Option-3 scheme
Oracle property
Ordered alternative hypothesis
Ordered logistic regression
Order statistics
Ordinal variable
Ordinary least squares (OLS)
Ordination
Ornstein–Uhlenbeck process
Orthant probability
Orthogonal
Orthogonal contrasts
Orthogonal matrix
Orthogonal polynomials
Orthonormal contrasts
Outcome variable
Outcomes research
Outlier
Outside observation
Overdispersion
Overfitted models
Overidentified model
Overmatching
Overparameterized model
Overviews
P
Page’s test
Paired availability design
Paired Bernoulli data
Paired comparisons experiment
Paired samples
Paired samples t-test
Pandemic
Panel study
Papadakis analysis
Parallel coordinate plots
Parallel distributed processing
Parallel-dose design
Parallel groups design
Parallelism in ANCOVA
Parallel-line bioassay
Parallel processing
Parameter
Parameter design
Parameter-driven model
Parameter space
Parametric hypothesis
Parametric methods
Pareto distribution
Pareto plot
Parking lot test
Parres plot
Parsimony principle
Partial autocorrelation
Partial common principal components
Partial correlation
Partial least squares
Partial likelihood
Partial multiple correlation coefficient
Partial questionnaire design
Partial-regression leverage plot
Partial residual plot
Particle filters
Partitioned algorithms
Partner studies
Pascal, Blaise (1623–1662)
Pascal distribution
Pascal’s triangle
Passenger variable
Pasture trials
Path analysis
Path coefficient
Path diagram
Path length tree
Pattern mixture models
Pattern recognition
PDF
PDP
Peak value
Pearson, Egon Sharpe (1896–1980)
Pearson, Karl (1857–1936)
Pearson’s chi-squared statistic
Pearson’s product moment correlation coefficient
Pearson’s residual
Pearson’s Type VI distribution
Peeling
Penalized maximum likelihood estimation
Penetrance function
Pentamean
Percentile
Percentile–percentile plot
Perceptron
Peromparison error rate
Perxperiment error rate
Performance indicators
Periodic survey
Periodogram
Period prevalence
Permutation test
Permuted block allocation
Per protocol
Perron–Frobenius theorem
Personal probabilities
Person-time
Person-time incidence rate
Person-years at risk
Perspective plot
Persson–Rootzén estimator
Perturbation methods
Perturbation theory
PEST
Petersburg game
Petersburg paradox
Petersen estimator
Peto–Prentice test
Phase I study
Phase II study
Phase III study
Phase IV study
Phenotype
Phenotypic assortment
Phi-coefficient
Phillips curve
Pie chart
Pillai–Bartlett trace
Pilot study
Pilot survey
Pitman drift
Pitman, Edwin James George (1897–1993)
Pitman efficiency
Pitman nearness criterion
Pitman-Yor process
Pivotal variable
Pixel
Placebo
Placebo effect
Placebo reactor
Plackett–Burman designs
Planned comparisons
Platykurtic curve
Playfair, William (1759–1823)
Play-the-winner rule
Plot dendrogram
PLP
Plug-in principle
PMR
Point–biserial correlation
Point estimate
Point estimation
Point prevalence
Point process
Point process data
Point scoring
Poisson distribution
Poisson homogeneity test
Poisson process
Poisson regression
Poisson, Siméon Denis (1781–1840)
Poisson-stopped-sum distributions
Poker tests
Polishing
Politz–Simmons technique
Polyá distribution
Polychotomous variables
Polynomial regression
Polynomial trend
Polynomial-trigonometric regression
Poly-Weibull distribution
POPS
Population
Population averaged models
Population genetics
Population growth models
Population projection matrix
Population pyramid
Population weighting adjustments
Portmanteau tests
Positive binomial distribution
Positive hypergeometric distribution
Positive Poisson distribution
Positive predictive value
Positive skewness
Positive synergism
Post-enumeration survey
Posterior distributions
Posterior predictive checks
Posterior probability
Post-hoc comparisons
Poststratification
Poststratification adjustment
Potthoff and Whitlinghill’s test
Potthoff test
Power
Power divergence statistics
Power exponential distribution
Power function distribution
Power law process
Power spectrum
Power transfer function
Power transformation
P–P plot
Pragmatic analysis
Precision
Precision matrix
Predictor variables
Prentice criterion
PRESS statistic
Prevalence
Prevented fraction
Prevention trials
Prevosti’s distance
Prewhitening
Principal components analysis
Principal components regression analysis
Principal coordinates analysis
Principal curve
Principal factor analysis
Principal Hessian directions
Principal oscillation pattern analysis (POPS)
Principal points
Principal stratification
Prior distributions
Probabilistic distance measures
Probabilistic matching
Probability
Probability density
Probability distribution
Probability generating function
Probability judgements
Probability-of-being-in-response function
Probability paper
Probability plot
Probability–probability (P–P) plot
Probability sample
Probability weighting
Probit analysis
Probit transformation
Procrustes analysis
Product-limit estimator
Profile analysis
Profile likelihood
Profile plots
Profile t plots
Prognostic scoring system
Prognostic survival model
Prognostic variables
Programming
Progressively censored data
Progressively type II censored sample
Projection
Projection plots
Projection pursuit
Proof of concept trials
Propensity score
Proportional allocation
Proportional hazards model
Proportional mortality ratio
Proportionaldds model
Proportionate mortality ratio (PMR)
Prospective study
Protective efficacy of a vaccine
Protocol
Protocol violations
Protopathic bias
Proximity matrix
Pruning algorithms
Pseudo-inverse
Pseudo-likelihood
Pseudorandom numbers
Pseudo R2
Psychometrics
Publication bias
P-value
Pyke, Ronald (1932–2005)
Pyramids
Q
Q–Q plot
Q-technique
Quadrant sampling
Quadratic discriminant function
Quadratic function
Quadratic loss function
Quadrature
Quadrature spectrum
Quality-adjusted survival analysis
Quality-adjusted survival times
Quality assurance
Quality control angle chart
Quality control procedures
Quality function
Quangle
Quantal assay
Quantal variable
Quantile–quantile (Q–Q) plot
Quantile regression
Quantiles
Quantit model
Quartiles
Quasi-experiment
Quasi-independence
Quasi-likelihood
Quasi-score estimating function
Quasi-symmetry
Quetelet, Adolphe (1796–1874)
Quetelet index
Queuing theory
Quick and dirty methods
Quick-size
Quincunx
Quintiles
Quitting ill effect
Quota sample
R
R
Radial plot of odds ratios
Radical statistics group
Raking adjustments
Ramsey, Frank Plumpton (1903–1930)
Ramsey regression equation specification error test
Rand coefficient
Random
Random allocation
Random coefficient models
Random digit dialling sampling
Random dissimilarity matrix model
Random effects
Random effects model
Random events
Random forests
Random matrix theory
Randomization tests
Randomized block design
Randomized clinical trial
Randomized consent design
Randomized encouragement trial
Randomized response technique
Randomly-stopped sum
Random model
Random number
Random sample
Random variable
Random variation
Random walk
Range
Rank adjacency statistic
Rank correlation coefficients
Ranking
Rank of a matrix
Rank order statistics
Rank regression
Ranks
Rank transform method
Rao-Blackwell theorem
Rao–Hartley–Cochran method (RHC)
Rasch, Georg (1901–1980)
Rasch model
Ratchet scan statistic
Rate
Ratio estimator
Ratio variable
Rayleigh distribution
Rayleigh quotient
Rayleigh’s test
RBD
RCT
RDS
Recall bias
Receiver operating characteristic (ROC) curve
Reciprocal causation
Reciprocal model
Reciprocal transformation
Record linkage
Rectangular distribution
Recurrence risk
Recurrent event data
Recursive
Recursive models
Recursive partitioning regression
Reduction of dimensionality
Reed–Muench estimator
Reference interval
Reference population
Reference priors
Regenerative cycles
Regenerative process
Regression analysis
Regression calibration
Regression coefficient
Regression diagnostics
Regression dilution
Regression discontinuity design
Regression modelling
Regression through the origin
Regression to the mean
Regression weight
Regularization
Regularized discriminant analysis
Reification
Reinsch spline
Reinterviewing
Rejectable quality level
Relative efficiency
Relative frequency
Relative poverty statistics
Relative risk
Relative survival
Reliability
Reliability data
Reliability theory
Relplot
Remedian
Remington, Richard (1931–1992)
REML
Removal method
Renewal function
Renewal process
Renewal theory
Rényi, Alfréd (1921–1970)
Repeatability
Repeated measures data
Replicate observation
Reporting bias
Reproduced matrix
Reproducibility
Reproduction rate
Research hypothesis
Resentful demoralization
RESET test
Residual
Residual maximum likelihood estimation (REML)
Residual plots
Residual sum of squares
Respondent-driven sampling (RDS)
Responders versus non-responders analysis
Response bias
Response feature analysis
Response rate
Response surface methodology (RSM)
Response variable
Restricted maximum likelihood estimation
Resubstitution error rate
Resubstitution method
Retrospective cohort study
Retrospective study
Reversal designs
Reverse-causality
Reversible jump sampler
Reversibility
RHC
Rice distribution
Ridge estimator
Ridge regression
Ridge trace
Ridit analysis
Ridits
Riemann integral
Riemann–Stieltjes integral
Right censored
Rim estimation
Risk
Risk factor
Risk measure
Risk set
Robbins, Herbert (1915–2001)
Robinson matrix
Robust estimation
Robust regression
Robust statistics
ROC curve
Rootogram
Rose diagram
Rosenbaum’s test
Rosenthal effect
Rotatable design
Rotation sampling
Rothamsted Park Grass Experiment
Rounding
Round robin study
Roy’s largest root criterion
R-techniques
Ruben, Harold (1923–2001)
Rudas–Clogg–Lindsay index of fit
Rugplot
Ruin theory
Rule of three
Run-in
Run
Runs test
RV-coefficient
S
Saddlepoint method
Saint Petersburg paradox
Sakoda coefficient
Sample
Sample size
Sample size formulae
Sample space
Sample survey
Sampling
Sampling design
Sampling distribution
Sampling error
Sampling frames
Sampling units
Sampling variation
Sampling with and without replacement
Sampling zeros
Sandwich estimators
Sanghvi’s distance
Sargan distribution
Sargan test
SAS
Satterthwaite’s approximation
Saturated model
Savage, Leonard James (1917–1971)
Savage’s test
Scaled deviance
Scale factor
Scale parameter
Scaling
Scan statistic
Scatter
Scatter diagram
Scattergram
Scatterplot
Scatterplot matrix
Scenario analysis
Sceptical priors
Scheffé, Henry (1907–1977)
Scheffé’s test
Schemper’s measures
Schoenfield residual
Schuster’s test
Schwarz’s criterion
Score residual
Score test
Scott, Elizabeth Leonard (1917–1988)
Scram data
Scree diagram
Screened-to-eligible ratio
Screening experiments
Screening studies
SD
SB-distribution
SL-distribution
SU-distribution
SE
Seasonally adjusted
Seasonal variation
Seber’s model
Secondary attack rate
Second-level significance testing
Second-order stationarity
Secretary problem
Secular trend
Seemingly unrelated regression (SUR)
Segmentation
Segregation analysis
Selection bias
Selection methods in regression
Selection models
Self-modeling regression (SEMOR)
Self-pairing
Self-similarity
Self-similarity parameter
Semi-interquartile range
Semi-continuous variables
Semi-parametric efficiency bounds
Semi-parametric regression
Semi-variogram
SEMOR
Sensitivity
Sensitivity analysis
Sequence models
Sequential allocation procedures
Sequential analysis
Sequential importance sampling (SIS)
Sequential sums of squares
Serial correlation
Serial interval
Serial measurements
Seriation
Shaded distance matrix
Shannon, Claude Elwood (1916–2001)
Shannon’s information measure
Shape parameter
Shapiro–Wilks W test
Shattuck, Lemuel (1793–1859)
Shepard diagram
Sheppard’s corrections
Shewhart chart
Shewhart, Walter A (1891-1987)
Shifted hats procedure
Shift outlier
Shift tables
Shock models
Shrinkage
Shrinkage estimators
Shrinkage formulae
Sibling estimators
Siegel–Tukey test
Sigmoid
Signed rank test
Signed root transformation
Significance level
Significance test
Sign test
Silhouette plot
Simes modified Bonferroni procedure
SIMEX
Similarity coefficient
Similarity matrix
Simple random sampling
Simple structure
Simplex algorithm
Simplex models
Simpson’s paradox
Simulated annealing
Simulation
Simulation and extrapolation (SIMEX) procedure
Simulation envelope
Simultaneous confidence interval
Simultaneous inference
Sinclair, John (1754–1835)
Single-blind
Single-case study
Single index model
Single-linkage clustering
Single-masked
Single sample t-test
Singly censored data
Singular matrix
Singular value decomposition
Sinh-normal distribution
Six sigma initiative
SiZer map
Skewness
Skew-normal distribution
Skew-symmetric matrix
Sliced inverse regression
Sliding square plot
Slime plot
Slope ratio assay
Slutsky, Eugen (1880–1948)
Slutsky’s theorem
Slutsky–Yule effect
Small area estimation
Small expected frequencies
Smear-and-sweep
Smirnov, Nikolai Vasil’yevich (1900–1966)
Smith, Cedric Austen Bardell (1917–2002)
Smoothing methods
Smoothly clipped absolute deviation
SMR
S–N curve
Snedecor, George Waddel (1881–1974)
Snedecor’s Fistribution
Snow, John (1813–1858)
Snowball sampling
Snowflakes
Sobel and Weiss stopping rule
Soft methods
Sojourn time
SOLAS
SOLO
Somer’s d
Sorted binary plot
Sources of data
Space–time clustering
Spaghetti plot
Sparsity-of-effect principle
Spatial autocorrelation
Spatial automodels
Spatial cumulative distribution function
Spatial data
Spatial experiment
Spatial median
Spatial process
Spatial randomness
Spearman–Brown prophesy formula
Spearman, Charles Edward (1863–1945)
Spearman–Kärber estimator
Spearman’s rho
Specificity
Specific variates
Spectral analysis
Spectral density matrix
Spectral radius
Spectrum
Spherical variable
Sphericity
Sphericity test
Spiegelman, Mortimer (1901–1969)
Spineplot
Splicing
Spline function
Split-half method
Split-tot design
Split-plot design
S-PLUS
Spread
Spreadsheet
SPSS
Spurious correlation
Spurious precision
SQC
Square contingency table
Square matrix
Square root rule
Square root transformation
Stable Pareto distribution
Stage line diagrams
Staggered entry
Stahel–Donoho robust multivariate estimator
Staircase method
Stalactite plot
STAMP
Standard curve
Standard design
Standard deviation
Standard error
Standard gamble
Standard gamma distribution
Standardization
Standardized mortality rate (SMR)
Standardized range procedure
Standardized regression coefficient
Standardized residual
Standard logistic distribution
Standard normal variable
Standard scores
Star plot
STATA
State space
State-space representation of time series
Stationarity
Stationary distribution
Stationary point process
Statistic
Statistical disclosure limitation
Statistical expert system
Statistical graphics
Statistical journals
Statistical quality control (SPC)
Statistical quotations
Statistical societies
Statistical software
Statistical surveillance
Statistics
STATISTICA
Statistics for the terrified
STAT/TRANSFER
STATXACT
Steepest descent
Stem-and-leaf plot
Stepwise regression
Stereology
Stieltjes integral
Stirling’s formula
Stochastic approximation
Stochastic frontier models
Stochastic matrix
Stochastic ordering
Stochastic process
Stopping rules
Stop screen design
Strata
Stratification
Stratified Cox models
Stratified logrank test
Stratified randomization
Stratified random sampling
Streaky hypothesis
Stress
Strict stationarity
Stripes plots
Strip-plot designs
Structural equation model
Structural nested model
Structural time series models
Structural zeros
Stuart, Alan (1922–1998)
Stuart–Maxwell test
Studentization
Studentized range statistic
Studentized residual
Student’s t-distribution
Student’s t-tests
Sturdy statistics
Sturges’ rule
Subgroup analysis
Subjective endpoints
Subjective probability
Subject-specific models
SUDAAN
Sufficiency principle
Sufficient statistic
Sukhatme, Panurang Vasudeo (1911–1997)
Summary measure analysis
Sunflower plot
Supercomputers
Super-Duper
Superefficient
Superiority trial
Superleverage
Supernormality
Superpopulation
Supersaturated design
Supervised learning
Supervised pattern recognition
Support
Support function
Support vector machines (SVM)
Suppressor variables
SUR
Sure screening methods
Surface models
Surrogate endpoint
Survey
Survival curve
Survival function
Survival time
Survivor function
Suspended rootogram
Sverdrup, Erling (1917–1994)
Switch-back designs
Switching effect
Switching regression model
Sylvan’s estimator
Symmetrical distribution
Symmetric matrix
Symmetry in square contingency tables
Synchronicity
Synergism
Synthesis analysis
Synthetic estimator
Synthetic risk maps
SYSTAT
Systematic allocation
Systematic error
Systematic review
T
Taboo probabilities
Taguchi’s idle column method
Taguchi’s minute accumulating analysis method
Taguchi’s parameter design
Takeuchi’s information criterion (TIC)
Tango’s index
Tapering
TAR
Target population
Tarone-ware test
Taylor’s expansion
Taylor’s power law
TD50
Telephone interview surveys
Telescoping
TES
Test statistic
Tetrachoric correlation
Theil-sen estimator
Theil’s test
Therapeutic trial
Thiel, Thorvald Nicolai (1838–1910)
Thomas distribution
Thomson, Sir Godfrey Hilton (1881–1955)
Three-group resistant line
Three-mode analysis
Three-period crossover design
Three-stage sampling
Threshold autoregressive model
Thresholdrossing data
Thresholdrossing model
Threshold limit value
Threshold model
Thurstone, Louis Leon (1887–1955)
TIC
Tied observations
Time-by-time ANOVA
Time-dependent covariates
Time-frequency distribution
Time-homogeneous Markov chain
Time-independent covariates
Time series
Time-to-event data
Time trade-off technique
Time-varying covariates
Tmax
Tobit model
Toeplitz matrix
Tolerance
Tolerance interval
Total matrix of sums of squares and cross-products
Total sum of squares
Tour
Townsend index
Trace of a matrix
Tracking
Training set
Transfer function model
Transformation
Transformxpand sample (TES)
Transition matrix
Transition models
Transition probability
Transmission probability
Transmission rate
Trapezium rule
Trapezoidal rule
Trapping web design
Treatment allocation ratio
Treatment crossontamination
Treatment received analysis
Treatment trial
Tree
Tree-top alternative
Trellis graphics
Trend
Triangular contingency table
Triangular distribution
Triangular test
Trimmed mean
Triogram method
Triograms
Triple scatterplot
Triples test
Trohoc study
Trojan squares
Trough-to-peak ratio
TRUE EPISTAT
Truncated binary data
Truncated data
Truncated Poisson distribution
Tschuprov coefficient
T-square test
Tukey, John (1915–2000)
Tukey’s lambda distributions
Tukey’s quick test
Tukey’s test for nonadditivity
Tumorigenic dose 50 (TD50)
Turnbull estimator
Tweedie, Richard (1947–2001)
Twin analysis
Two-armed bandit allocation
Two-bend transformation
Two-by-two (2 × 2) contingency table
Two-by-two (2 × 2) crossover design
Two-dimensional tables
Two-parameter exponential distribution
Two-phase sampling
Two-sided test
Two-stage least squares
Two-stage sampling
Two-stage stopping rule
Two-way classification
Type H matrix
Type I error
Type II error
Type III error
U
UK retail prices index
Ultrametric inequality
Ultrametric tree
Umbrella ordering
Umbrella problem
Unanimity rule
Unbalanced design
Unbiased
Uncertainty analysis
Underfitted models
Undirected graph
Unequal probability sampling
Unfolding
Unidentified model
Uniform distribution
Uniformity trial
Uniformly most accurate interval
Uniformly most powerful test
Unimodal
Unimodal ordering
Unionntersection principle
Unit normal variate
Unit root test
Univariate data
Univariate directional orderings
Universe
Unreplicated factorial
Unsupervised learning
Unsupervised pattern recognition
Unweighted means analysis
Up-and-down method
U-shaped distribution
Utility analysis
V
Vague prior
Validity
Validity checks
VALT
Van Dantzig, David (1900–1959)
Van der Waerden’s rank statistics
Variable
Variable sampling interval cusum charts
Variable selection
Variable-stress accelerated life testing trials (VALT)
Variance
Variance-balanced designs
Variance components
Variance–covariance matrix
Variance inflation factor
Variance ratio distribution
Variance ratio test
Variance stabilizing transformations
Variety trials
Varimax rotation
Variogram
Variogram cloud
Varying-coefficient models
Vec operator
Vech operator
Vector time series
Venn diagram
Vertical transmission
Violin plots
Virtual population analysis (VPA)
Vital index
Vital statistics
Volunteer bias
Von Mises distribution
Von Mises, Richard Martin Edler (1883–1953)
Von Neumann–Morgenstern standard gamble
Von Neumann ratio
Voronoi diagram
VPA
Vuong statistic
W
Wagner’s hypothesis
Wald, Abraham (1902–1950)
Wald–Blackwell theorem
Wald distribution
Wald estimator
Wald’s fundamental identity
Wald’s test
Wald–Wolfowitz test
Walker’s test
Walsh averages
Ward’s method
Waring distribution
Waring’s theorem
Warning lines
Warping functions
Wash-out model
Wash-out period
Wasserstein metrics
Watson, Geoffrey Stuart (1921–1998)
Watson’s A-est
Watson’s test
Wavelet analysis
Wavelet functions
Wavelet series approximation
Wavelet transform coefficients
WaveShrink
Weakest-link model
Weathervane plot
Wedderburn, Robert William Maclagan (1947–1975)
Weibull distribution
Weighted average
Weighted binomial distribution
Weighted generalized estimating equations (WGEE)
Weighted kappa
Weighted least squares
Weight of evidence (WE)
Wei–Lachin test
Welch’s statistic
Westergaard, Harald (1853–1936)
WE-test
Wherry’s formula
Whipple index
White noise
White’s information matrix test
White’s homoscedasticity test
Whittle likelihood
WGEE
Wichman/Hill generator
Wiener, Norbert (1894–1964)
Wigner-ville distribution
Wilcoxon, Frank (1892–1965)
Wilcoxon’s rank sum test
Wilcoxon’s signed rank test
Wilks’ lambda
Wilks’ multivariate outlier test
Wilks, Samuel Stanley (1907–1964)
Wilks’ theorem
Willcox, Walter Francis (1861–1964)
Williams’ agreement measure
Williams’ designs
Williams’ test
Wilson-Hilferty method
Window estimates
Window variables
Window width
Winsorising
Wishart distribution
Wishart, David (1928–1998)
Wishart, John (1898–1956)
Within groups matrix of sums of squares and cross-roducts
Within groups mean square
Within groups sum of squares
Wöhler curve
Wold, Herman Ole Andreas (1908–1992)
Wold’s decomposition theorem
Wolfowitz, Jacob (1910–1981)
Woolf’s estimator
Worcester, Jane (1910–1989)
Working correlation matrix
World Health Quarterly
World Health Statistics Annual
Worm plot
Wrapped Cauchy distribution
Wrapped distribution
Wrapped normal distribution
X
X2-statistic
X-11
X-Gvis
Y
Yates’ continuity correction
Yates, Frank (1902–1994)
Yates–Grundy variance estimator
Yea-saying
Youden, William John (1900–1972)
Youden’s index
Youden square
Yule–Furry process
Yule, George Udny (1871–1951)
Yule distribution
Yule’s characteristic K
Yule–Walker equations
Z
Zelen’s exact test
Zelen’s singleonsent design
Zero-inflated binomial regression
Zero-inflated Poisson regression
Zero sum game
Zero-truncated Poisson distribution
Zero-truncated probability distributions
ZIP
Zipf distribution
Zipf–Estoup law
Zipf’s law
Z-scores
z-test
z transformation
Zygosity determination

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