- List of statistics topics
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See also:
*List of basic statistics topics
*List of probability topics
*List of statisticians
*Glossary of probability and statistics
*Glossary of experimental design
*Notation in probability and statistics
*List of probability distributions
*List of graphical methods
*List of important publications in statistics __NOTOC__
1
*
1.96 2
*
2SLS (two stage least squares) — redirects toinstrumental variable 3
*
3SLS — three stage least squares6
*
68-95-99.7 rule A
*
A priori (statistics)
*Absolute deviation
*Accelerated failure time model
*Accuracy and precision
*Accuracy paradox
*Acquiescence bias
*Actuarial science
*Additive smoothing
*Admissible decision rule
*Age adjustment
*Age Standardized Mortality Rates
*Age-standardized mortality rate
*Aggregate data
*Aggregate pattern
*Akaike information criterion
*Algebraic statistics
*Algorithms for calculating variance
*Allan variance
*Alignments of random points
*Alternative hypothesis
*Analysis of categorical data
*Analysis of covariance
*Analysis of molecular variance
*Analysis of rhythmic variance
*Analysis of variance
*Analytic and enumerative statistical studies
*Ancestral graph
*Ancillary statistic
*ANCOVA -- redirects toAnalysis of covariance
*Anderson-Darling test
*ANOVA
*ANOVA-simultaneous component analysis
*Anomaly time series
*Anscombe transform
*Anscombe's quartet
*Antecedent variable
*Approximate Bayesian computation
*Area chart
*Area compatibility factor
*ARGUS distribution
*Arithmetic mean
*Association (statistics)
*Asymptotic distribution
*Asymptotic relative efficiency redirects toEfficiency (statistics)
*Augmented Dickey-Fuller test
*Autocorrelation
*Autocovariance
*Autoregressive conditional duration
*Autoregressive conditional heteroskedasticity
*Autoregressive fractionally integrated moving average
*Autoregressive integrated moving average
*Autoregressive moving average model
*Average B
*
Balanced incomplete block design redirects toBlock design
*Balanced repeated replication
*Balding-Nichols model
*Bar chart
*Barber-Johnson diagram
*Barnardisation
*Bartlett's test
*Base rate
*Baseball statistics
*Basu's theorem
*Bayes' theorem
**Evidence under Bayes theorem
*Bayes estimator
*Bayes factor
*Bayes linear
*Bayesian — (disambiguation)
*Bayesian additive regression kernels
*Bayesian average
*Bayesian experimental design
*Bayesian game
*Bayesian inference
*Bayesian inference in phylogeny
*Bayesian information criterion
*Bayesian linear regression
*Bayesian model comparison
*Bayesian multivariate linear regression
*Bayesian network
*Bayesian probability
*Bayesian search theory
*Behrens–Fisher problem
*Belief propagation
*Benford's law
*Berkson error model
*Berkson's paradox
*Bernoulli distribution
*Bernoulli sampling
*Bernoulli trial
*Bessel's correction
*Best linear unbiased prediction
*Beta-binomial model
*Beta distribution
*Beta prime distribution
*Beverton–Holt model
*Bhattacharya coefficient
*Bhattacharyya distance
*Bias (statistics)
*Bias of an estimator
*Biased sample
*Bienaymé-Chebyshev inequality
*Bimodal distribution
*Binary classification
*Binomial distribution
*Binomial proportion confidence interval
*Binomial regression
*Binomial test
*Biometrics
*Biostatistics
*Biplot
*Bingham distribution
*Birnbaum-Saunders distribution
*Bispectrum
*Block design
*Blocking (statistics)
*Bondy's theorem
*Bonferroni correction
*Boolean analysis
*Bootstrap aggregating
*Bootstrap (statistics) — redirects toBootstrapping (statistics)
*Bootstrapping (statistics)
*Box-Behnken design
*Box–Cox distribution
*Box–Cox transformation - redirects toPower transform
*Box-Jenkins
*Box-Pierce test
*Box plot
*Breusch–Godfrey test
*Breusch-Pagan statistic
*Brown-Forsythe test
*Burr distribution
*Business statistics
*Bühlmann model C
*
c-chart
*Calculus of predispositions
*Calibrated probability assessment
*Calibration (probability) - subjective probability, redirects toCalibrated probability assessment
*Calibration (statistics) - "the statistical calibration problem"
*Canonical analysis
*Canonical correlation
*Cantor distribution
*Cartogram
*Categorical distribution
*Categorical variable
*Cauchy distribution
*Cauchy-Schwarz inequality
*Causal Markov condition
*Ceiling effect
*Censored regression model
*Censoring (statistics)
*Centerpoint (geometry) —Tukey median redirects here
*Central composite design
*Central limit theorem
*Central moment
*Cepstrum
*Change detection
*Chapman–Robbins bound
*Characteristic function (probability theory)
*Chauvenet's criterion
*Chebyshev's inequality
*Checking if a coin is biased — redirects toChecking if a coin is fair
*Checking if a coin is fair
*Cheeger bound
*Chernoff bound – a special case of Chernoff's inequality
*Chernoff face
*Chernoff's distribution
*Chernoff's inequality
*Chi distribution
*Chi-square distribution
*Chi-square test
*Chow test
*Circular statistics
*Classic data sets
*Classical definition of probability
*Classical test theory - psychometrics
*Clinical trial
*Closed testing procedure
*Cluster analysis
*Cluster sampling
*Cochran test
*Cochran's theorem
*Cochran-Armitage test for trend
*Cochrane-Orcutt estimation
*Coefficient of determination
*Coefficient of dispersion
*Coefficient of variation
*Cohen's kappa
*Coherence (statistics)
*Cohort (statistics)
*Cohort study
*Cointegration
*Collectively exhaustive events
*Combinatorial data analysis
*Combinatorial design
*Combinatorial meta-analysis
*Common- and special-causes
*Comparing means
*Comparison of statistical packages
*Comparisonwise error rate
*Complementary event
*Completely randomized design
*Completeness (statistics)
*Compositional data
*Compound Poisson distribution
*Computational formula for the variance
*Computational learning theory
*Computational statistics
*Concordance correlation coefficient
*Concordant pair
*Concrete illustration of the central limit theorem
*Concurrent validity
*Conditional change model
*Conditional distribution redirects toConditional probability distribution
*Conditional independence
*Conditional probability
*Conditional probability distribution
*Conditional variance
*Conditionality principle
*Confidence interval
*Confidence band
*Confidence region
*Confirmatory factor analysis
*Confounding
*Confounding factor
*Conjoint analysis
**Conjoint analysis (in healthcare)
**Conjoint analysis (in marketing)
*Conjugate prior
*Consistency (statistics) redirects toConsistent estimator
*Consistent estimator
*Constraint (information theory)
*Consumption distribution
*Contingency table
*Continuity correction
*Continuous distribution
*Continuous probability distribution
*Contrast (statistics)
*Control chart
*Control limits
*Control variate
*Controlling for a variable
*Convex hull
*Conway-Maxwell-Poisson distribution
*Cook's distance
*Cophenetic correlation
*Copula (statistics)
*Correction for attenuation
*Correlate summation analysis
*Correlation
*Correlation does not imply causation
*Correlation function
*Correlation implies causation
*Correlation ratio
*Correlogram
*Count data
*Counternull
*Covariance
*Covariance and correlation
*Covariance matrix
*Covariate
*Cox process
*Cramér–Rao bound
*Cramér-von-Mises criterion
*Cramér's theorem
*Credible interval
*Cricket statistics
*Critical region — redirects toStatistical hypothesis testing
*Cromwell's rule
*Cronbach's α
*Cross-correlation
*Cross covariance
*Cross-sectional data
*Cross-sectional regression
*Cross tabulation
*Cross-validation
*Crystal Ball function - a probability distribution
*Cumulant
*Cumulative distribution function
*Cumulative frequency analysis
*Cumulative incidence
*Curve fitting
*CUSUM D
*
d'
*D distribution
*d-separation
*D'Agostino's K-squared test
*DAP — open source software
*Data analysis
*Data assimilation
*Data clustering
*Data dredging
*Data mining
*Data point
*Data set
*Data-snooping bias
*Data transformation (statistics)
*Data visualization
*De Finetti's theorem
*Decision theory
*Decomposing of time series
*Degenerate distribution
*Degrees of freedom (statistics)
*Delta method
*Deming regression
*Demographics
*Demography
**Demographic statistics
*Dendrogram
*Density estimation
**Illustration of density estimation
*Dependent and independent variables
*Descriptive research
*Descriptive statistics
*Design matrix
*Design of experiments
**The Design of Experiments (book by Fisher)
*Detection theory
*Deviance (statistics)
*Deviance information criterion
*Deviation (statistics)
*Deviation analysis
*DFFITS — a regression diagnostic
*Dickey-Fuller test
*Dimension reduction
*Directional statistics
*Dirichlet distribution
*Disattenuation
*Discrete choice analysis
*Discrete distribution
*Discrete phase-type distribution
*Discrete probability distribution
*Discriminant function analysis
*Distributed lag
*Dominating decision rule
*Donsker's theorem
*Doob-Meyer decomposition theorem
*Dot plot (statistics)
*Doubly stochastic model
*Dummy variable
*Duncan's new multiple range test
*Durbin test
*Durbin–Watson statistic
*Dutch book
*Dynamic Bayesian network E
*
Ecological correlation
*Ecological fallacy
*Ecological study
*Economic data
*Economic statistics
*Edgeworth series
*Effect size
*Efficiency (statistics)
*Eigenpoll
*Ellsberg paradox
*Elston Stewart algorithm
*Empirical Bayes method
*Empirical distribution function
*Empirical orthogonal functions
*Empirical probability
*Empirical process
*Empirical statistical laws
*Energy statistics
*Encyclopedia of Statistical Sciences (book)
*Engset calculation
*Ensemble forecasting
*Ensemble Kalman filter
*Entropy (information theory)
*Entropy estimation
*Epitome (image processing)
*Equiprobable
*Erlang distribution
*Ergodic theory
*Error bar
*Errors and residuals in statistics
*Errors-in-variables model
*Estimating equations
*Estimation
*Estimation theory
*Estimation of covariance matrices
*Estimator
*Evidence under Bayes theorem
*Ewens's sampling formula
*Exact statistics
*Exact test
*Excess risk
*Exchange paradox
*Exchangeable random variables
*Expectation-maximization algorithm
*Expected value
*Expected value of sample information
*Experimental design diagram
*Experimental techniques
*Experimenter's bias
*Experimentwise error rate
*Explained sum of squares
*Explained variation
*Explanatory variable
*Exploratory data analysis
*Exponential distribution
*Exponential family
*Exponential power distribution
*Exponential smoothing
*Exposure variable
*Extended Kalman filter
*Extended negative binomial distribution
*External validity
*Extreme value theory F
*
Factorial moment
*Failure rate
*F-distribution
*F-divergence
*F-test
*F1 score
*Factor analysis
*Factorial code
*Factorial experiment
*Fair coin
*Falconer's formula
*False discovery rate
*False negative
*False positive
*False positive paradox
*Familywise error rate
*Fano factor
*Fast Fourier transform
*Fast Kalman filter
*Fat tail
*Feasible generalized least squares
*Fiducial inference
*Fieller's theorem
*File drawer problem
*First-hitting-time model
*Fisher information
*Fisher transformation
*Fisher's exact test
*Fisher's inequality
*Fisher's linear discriminator
*Fisher's method
*Fisher's noncentral hypergeometric distribution
*Fisher's z-distribution
*Fisher-Tippett distribution
*Five-number summary
*Fixed effects estimator - redirects toFixed effects estimation
*Fixed effects estimation
*FLAME clustering
*Fleiss' kappa
*Fleming-Viot process
*Floor effect
*Folded normal distribution
*Forecast error
*Forecasting
*Forest plot
*Formation matrix
*Foundations of statistics
*Founders of statistics
*Fraction of variance unexplained
*Fractional factorial design
*Fréchet distribution
*Freedman-Diaconis rule
*Frequency (statistics)
*Frequency distribution
*Frequency probability
*Friedman test
*Fully-crossed design
*Function approximation
*Functional data analysis
*Funnel plot
*Fuzzy measure theory
*FWL theorem — relating regression and projectionG
*
G-test
*Galbraith plot
*Galton–Watson process
*Galton's problem
*Gamma distribution
*Gamma test (statistics)
*Gamma variate
*Gauss–Kuzmin distribution
*Gauss–Markov theorem
*Gaussian function
*Geary's C
*GEH — a statistic comparing modelled and observed counts
*General linear model
*General matrix notation of a VAR(p)
*Generalized additive model
*Generalized canonical correlation
*Generalized Dirichlet distribution
*Generalized estimating equations
*Generalized extreme value distribution
*Generalized Gaussian distribution
*Generalised hyperbolic distribution
*Generalized inverse Gaussian distribution
*Generalized linear array model
*Generalized linear mixed model
*Generalized linear model
*Generalized method of moments
*Generalized multidimensional scaling
*Generative model
*Genstat
*Geodemographic segmentation
*Geometric data analysis
*Geometric distribution
*Geometric median
*Geometric standard deviation
*Geostatistics
*German tank problem
*Gibbs sampling
*Gini coefficient
*GLIM
*Gompertz-Makeham law of mortality
*Good-Turing frequency estimation
*Goodman and Kruskal's lambda
*Goodness of fit
*Graeco-Latin square
*Grand mean
*Graphical model
*Gretl
*Group method of data handling
*Group size measures
*Grubbs' test for outliers
*Gy's sampling theory H
*
h-index
*Hadamard variance
*Half circle distribution
*Half-logistic distribution
*Half-normal distribution
*Halton sequences
*Hannan-Quinn information criterion
*Hartley's test
*Hat matrix
*Hausman specification test
*Hausman test note merger proposal withHausman specification test
*Hazard ratio
*Heaps' law
*Heavy-tailed distribution
*Heckman correction
*Hellinger distance
*Helmert-Wolf blocking
*Heteroscedasticity
*Heteroscedasticity-consistent standard errors
*Hidden Markov model
*Hidden semi-Markov model
*Hierarchical Bayes model
*Hierarchical hidden Markov model
*Hierarchical linear modeling
*High-dimensional statistics
*Higher-order statistics
*Histogram
*History of statistics
*Hodges-Lehmann estimator
*Holm-Bonferroni method
*Homogeneity (statistics)
*Homoscedasticity
*Hotelling's T-square distribution
*How to Lie with Statistics (book)
*Howland will forgery trial
*Huber-White standard errors
*Hubbert curve
*Hyperbolic distribution
*Hyperbolic secant distribution
*Hypergeometric distribution
*Hyperparameter
*Hyper-exponential distribution
*Hyper-Graeco-Latin square design
*Hypoexponential distribution I
*
Idealised population
*Ignorability
*Illustration of the central limit theorem
*Importance sampling
*Imprecise probability
*Imputation (statistics)
*Indecomposable distribution
*Independent component analysis
*Independent identically-distributed random variables
*Indicators of spatial association
*Indirect least squares
*An inequality on location and scale parameters
*Inference
*Inferential statistics redirects toStatistical inference
*Infinite divisibility (probability)
*Information bottleneck method
*Information geometry
*Information theory
*Inherent bias
*Inherent zero
*Instrumental variable
*Intention to treat analysis
*Interaction (statistics)
*Interaction variable
*Interclass correlation
*Interclass dependence
*Interim analysis
*Internal consistency
*Internal validity
*Interquartile mean
*Interquartile range
*Inter-rater reliability
*Interval estimation
*Intervening variable
*Intraclass correlation
*Invariant estimator
*Inverse-chi-square distribution
*Inverse-gamma distribution
*Inverse Gaussian distribution
*Inverse Mills ratio
*Inverse-Wishart distribution
*Inverse transform sampling
*Iris flower data set
*Irwin-Hall distribution
*Isomap
*Isotonic regression
*Item response theory
*Iteratively re-weighted least squares J
*
Jackknife (statistics) redirects toResampling (statistics)
*James-Stein estimator
*Jarque-Bera test
*Jeffreys prior
*Jensen–Shannon divergence
*Joint probability distribution K
*
K-means algorithm
*K-medoids
*Kalman filter
*Kaplan-Meier estimator
*Kappa coefficient
*Kappa statistic
*Karhunen-Loève theorem
*Kendall tau distance
*Kendall tau rank correlation coefficient
*Kendall's W – Kendall's coefficient of concordance
*Kent distribution
*Kernel density estimation
*Kernel regression
*Kernel smoother
*Kernel (statistics)
*Kirkwood approximation
*Kitchen sink regression
*Kolmogorov continuity theorem
*Kolmogorov's inequality
*Kolmogorov-Smirnov test
*Kriging
*Kruskal-Wallis one-way analysis of variance
*Kuiper's test
*Kullback–Leibler divergence
*Kumaraswamy distribution
*Kurtosis L
*
L-estimator
*Lack-of-fit sum of squares
*Lag operator
*Landau distribution
*Lander–Green algorithm
*Laplace distribution
*LARS — seeleast-angle regression
*Latent variable ,latent variable model ]
*Latent class model
*Latent Dirichlet allocation
*Latin square
*Latin hypercube sampling
*Law of averages
*Law of large numbers
*Law of the iterated logarithm
*Law of total cumulance
*Law of total expectation
*Law of total probability
*Law of total variance
*Law of Truly Large Numbers
*Layered hidden Markov model
*Least absolute deviations
*Least-angle regression
*Least squares
*Least-squares estimation of linear regression coefficients
*Least-squares spectral analysis
*Learning theory (statistics)
*Lehmann–Scheffé theorem
*Levene's test
*Level of measurement
*Levey-Jennings chart
*Lévy distribution
*Levy skew alpha-stable distribution
*Lexis ratio
*Lies, damned lies, and statistics
*Life expectancy
*Life table
*Lift (data mining)
*Likelihood function
*Likelihood principle
*Likelihood-ratio test
*Lilliefors test
*Limiting density of discrete points
*Lindley's paradox
*Line-intercept sampling
*Linear discriminant analysis
*Linear model
*Linear prediction
*Linear probability model
*Linear regression
*LISREL — proprietary statistical software package
*List of basic statistics topics
*List of convolutions of probability distributions
*List of graphical methods
*List of probability topics
*List of random number generators
*List of scientific journals in statistics
*List of statistical packages
*List of statisticians
*Ljung-Box test
*Local convex hull
*Local independence
*Local regression
*Location estimation redirects toLocation parameter
*Location estimation in sensor networks
*Location parameter
*Location-scale family
*Locality (statistics)
*Log-Laplace distribution
*Log-normal distribution
*Log-linear model
*Log-logistic distribution
*Logarithmic distribution
*Logistic distribution
*Logistic function
*Logistic regression
*Logit
*Lognormal distribution
*Logrank test
*Long-range dependency
*Long-tail traffic
*Longitudinal regression
*Longitudinal study
*Lorenz curve
*Loss function
*Lusser's law M
*
M-estimator
**Redescending M-estimator
*M-separation
*Machine learning
*Mahalanobis distance
*Main effect
*Mallows' Cp
*MANCOVA
*Mann-Whitney U
*MANOVA
*Mantel test
*MAP estimator
*Margin of error
*Marginal distribution
*Marginal likelihood
*Marginal model
*Marginal variable
*Mark and recapture
*Markov chain
**Markov chain geostatistics
**Markov chain mixing time
*Markov chain Monte Carlo
*Markov logic network
*Markov network
*Martingale (probability theory)
*Matching pursuit
*Mathematical formalization of the statistical regression problem
*Mathematical modelling in epidemiology
*Mathematical statistics
*Matrix normal distribution
*Mauchly's sphericity test
*Maximum a posteriori
*Maximum entropy classifier redirects toLogistic regression
*Maximum entropy method redirects toPrinciple of maximum entropy
*Maximum entropy probability distribution
*Maximum entropy spectral estimation
*Maximum likelihood
*Maximum parsimony
*Maxwell speed distribution
*Maxwell–Boltzmann distribution
*MCAR (missing completely at random)
*McCullagh's parametrization of the Cauchy distributions
*McNemar's test
*Mean
*Mean – see alsoexpected value
*Mean absolute error
*Mean absolute percentage error
*Mean and predicted response
*Mean deviation
*Mean difference
*Mean of circular quantities
*Mean reciprocal rank
*Mean squared error
*Mean squared prediction error
*Measurement, level of — seelevel of measurement .
*Median
*Median absolute deviation
*Median polish
*Median test
*Mediation (statistics)
*Medical statistics
*Mean time between failures
*Memorylessness
*Meta-analysis
*Method of moments (statistics)
*Method of simulated moments
*Method of support
*Metropolis-Hastings algorithm
*Midhinge
*Mid-range
*A Million Random Digits with 100,000 Normal Deviates (book)
*Minimax
*Minimax estimator
*Minimum distance estimation
*Minimum mean square error
*Minimum-variance unbiased estimator
*Minimum viable population
*Minitab
*MINQUE – minimum norm quadratic unbiased estimation
*Missing values
*Mixed logit
*Misuse of statistics
*Mixed-design analysis of variance
*Mixing (mathematics)
*Mixture density
*Mixture model
*Mixture (probability)
*MLwiN
*Mode (statistics)
*Model output statistics
*Model selection
*Moderator variable
*Modifiable areal unit problem
*Moment (mathematics)
*Moment-generating function
*Moments, method of — seemethod of moments (statistics)
*Monotone likelihood ratio property
*Moran's I
*Moving average
*Multi-armed bandit
*Multicollinearity
*Multidimensional analysis
*Multidimensional scaling
*Multilevel model
*Multinomial distribution
*Multinomial probit
*Multinomial test
*Multiple comparisons
*Multiple correlation
*Multiple discriminant analysis
*Multiple Indicator Cluster Survey
*Multiple testing correction
*Multivariate adaptive regression splines
*Multivariate analysis
*Multivariate analysis of variance
*Multivariate distribution
*Multivariate normal distribution
*Multivariate Polya distribution
*Multivariate probit
*Multivariate random variable
*Multivariate statistics
*Multivariate Student distribution N
*
Naive Bayes classifier
*Nakagami distribution
*National and international statistical services
*Natural exponential family
*Negative binomial distribution
*Negative predictive value
*Negative relationship
*Nelson rules
*Nested case-control study
*Nested sampling algorithm
*Newcastle–Ottawa scale
*Neyman construction
*Neyman-Pearson lemma
*Nominal category
*Noncentral chi distribution
*Noncentral chi-square distribution
*Noncentral F-distribution
*Noncentral hypergeometric distributions
*Nonlinear autoregressive exogenous model
*Nonlinear dimensionality reduction
*Nonlinear regression
*Non-linear least squares
*Non-negative matrix factorization
*Non-parametric statistics
*Nonparametric regression
*Nonprobability sampling
*Normal approximation
*Normal curve equivalent
*Normal distribution
*Normal probability plot -- see alsorankit
*Normal score -- see alsorankit andZ score
*Normal variance-mean mixture
*Normal-gamma distribution
*Normal-inverse Gaussian distribution
*Normal-scaled inverse gamma distribution
*Normality test
*Normalization (statistics)
*Normally distributed and uncorrelated does not imply independent
*Notation in probability and statistics
*np-chart
*Null distribution
*Null hypothesis
*Nuisance parameter redirected toNuisance variable
*Nuisance variable
*Numerical parameter O
*
Observable variable
*Observational error
*Observational study
*Observed information
*Odds
*Odds ratio
*Official statistics
*Ogden tables
*Omitted-variable bias
*Omnibus test
*One-factor-at-a-time method
*One-way ANOVA
*Operational confound
*Operational sex ratio
*Operations research
*Opinion poll
*Optimal decision
*Optimal design
*Optimal stopping
*Optimality criterion
*Order of a kernel
*Order of integration
*Order statistic
*Ordered logit
*Ordered probit
*Ordered subset expectation maximization
*Ordination (statistics)
*Orthogonal array testing
*Orthogonality principle
*Outlier
*Outliers ratio
*Overdispersion
*Overfitting P
*
p-chart
*Page's trend test
*Paid survey
*Paired comparison analysis
*Panel analysis
*Panel data
*Paleostatistics
*Parabolic fractal distribution
*PARAFAC (Parallel factor analysis)
*Parallel factor analysis redirects toPARAFAC
*Paradigm (experimental)
*Parametric model
*Parametric statistics
*Pareto analysis
*Pareto distribution
*Pareto interpolation
*Path analysis (statistics)
*Partial autocorrelation — redirects toPartial autocorrelation function
*Partial autocorrelation function
*Partial correlation
*Partial least squares
*Partial least squares regression
*Partial leverage
*Partial regression plot
*Partial residual plot
*Particle filter
*Parzen window
*Path analysis (statistics)
*Path coefficient
*Pearson's chi-square test (one of variouschi-square tests )
*Pearson distribution
*Pearson product-moment correlation coefficient
*Per capita
*Per-protocol analysis
*Percentile rank
*Periodic variation
*Peirce's criterion
*Phase dispersion minimization
*Phase-type distribution
*Pie chart
*Pignistic probability
*Pitman-Koopman-Darmois theorem
*Pitman closeness
*Pivotal quantity
*Plackett-Burman design
*Player wins
*Point-biserial correlation coefficient
*Point estimation
*Point process
*Poisson distribution
*Poisson process
*Poisson regression
*Poisson sampling
*Polar distribution
*Polychoric correlation
*Polynomial and rational function modeling
*Polynomial chaos
*Pooled standard deviation
*Pooled variance
*Pooling design
*Positive predictive value
*Post-hoc analysis
*Power transform
*Population
*Population dynamics
*Population modeling
*Population statistics
*Population viability analysis
*Portmanteau test
*Posterior probability
*Prediction interval
*Predictive analytics
*Predictive informatics
*Predictive modelling
*Predictive validity
*Principal components analysis
*Principal component regression
*Principal geodesic analysis
*Principle of maximum entropy
*Prior knowledge for pattern recognition
*Prior probability
*Prior probability distribution redirects toPrior probability
*Probabilistic forecasting
*Probabilistic latent semantic analysis
*Probabilistic relational model
*Probability
*Probability density function
*Probability distribution
*Probability interpretations
*Probability mass function
*Probability matching
*Probability of error
*Probability plot
*Probability plot correlation coefficient plot
*Probability theory
*Probit
*Probit model
*Procrustes analysis
*Profile likelihood redirects toLikelihood function
*Projection pursuit
*Proof of Stein's example
*Propensity score
*Propensity score matching
*Proper linear model
*Proportional hazards models
*Proportional reduction in loss
*Prosecutor's fallacy
*Proxy (statistics)
*Psephology
*Pseudocount
*Pseudolikelihood
*Pseudomedian
*Pseudoreplication
*PSPP (free software)
*Psychological statistics
*p-rep
*P-value
*Pythagorean expectation Q
*
Q test
*Q-Q plot
*Q-statistic
*Quadratic trend analysis
*Quadratic form (statistics)
*Qualitative comparative analysis
*Qualitative data
*Qualitative variation
*Quantile
*Quantile function
*Quantile regression
*Quantitative marketing research
*Quantitative psychological research
*Quantitative research
*Quartile
*Quartile coefficient of dispersion
*Quasi-experimental design
*Quasi-likelihood
*Quasi-maximum likelihood
*Queuing theory in teletraffic engineering
*Quota sampling R
*
R (programming language)
*Radar chart
*Rademacher distribution
*Raised cosine distribution
*Ramsey RESET test — the Ramsey Regression Equation Specification Error Test
*Random assignment
*Random data—seerandomness
*Random effects estimation redirects toRandom effects model
*Random effects model
*Random matrix
*Random sample
*Random sampling
*Random sequence
*Random walk
*Randomization
*Randomized controlled trial
*Randomized block design
*Randomized response
*Randomness tests
*Range (statistics)
*Rank abundance curve
*Rank correlation mainly links to two following
**Spearman's rank correlation coefficient
**Kendall tau rank correlation coefficient
*Rank product
*Rank-size distribution
*Rankit
*RANSAC
*Rao–Blackwell theorem
*Rao-Blackwellisation &mdash redirects to *Rao–Blackwell theorem
*Rasch model
**Polytomous Rasch model
*Ratio distribution
*Rayleigh distribution
*Raw score
*Realization (probability)
*Receiver operating characteristic
*Recurrence plot
*Recursive Bayesian estimation
*Recursive least squares
*Recursive partitioning
*Reference class problem
*Regression analysis — see alsolinear regression
*Regression Analysis of Time Series — proprietary software
*Regression dilution
*Regression estimation
*Regression fallacy
*Regression discontinuity
*Regression toward the mean
*Reification (statistics)
*Rejection sampling
*Relative efficiency redirects toEfficiency (statistics)
*Relative risk
*Relative standard deviation
*Relativistic Breit–Wigner distribution
*Reliability (statistics)
*Reliability theory
*Reliability theory of aging and longevity
*Rencontres numbers — a disscter distribution
*Repeated measures design
*Replication (statistics)
*Representation validity
*Resampling (statistics)
*Rescaled range
*Residual. Seeerrors and residuals in statistics .
*Residual sum of squares
*Response bias
*Response surface methodology
*Response variable
*Restricted maximum likelihood
*Restricted randomization
*Reversible jump Markov chain Monte Carlo
*Revising opinions in statistics
*Rice distribution
*Ridge regression redirects toTikhonov regularization
*Risk function
*Risk theory
*Robbins lemma
*Robin Hood index
*Robust confidence intervals
*Robust regression
*Robust statistics
*Root mean square
*Root mean square deviation
*Rothamsted Experimental Station
*R programming language
*Rubin Causal Model
*Rule of succession *
S (programming language)
*S-PLUS
*Sacramental index
*Safety in numbers
*Sammon's projection
*Sample mean and covariance redirects toSample mean and sample covariance
*Sample mean and sample covariance
*Sample size
*Sample (statistics)
*Sampling (statistics)
**Sampling design
**Sampling error
**simple random sampling
**systematic sampling
**stratified sampling
**cluster sampling
**multistage sampling
**nonprobability sampling
**slice sampling
*Sampling design
*Sampling distribution
*Sampling equiprobably with dice
*Sampling error
*Sampling fraction
*Sampling variogram
*Sargan test
*SAS System
*Saturated array
*Scale analysis (statistics)
*Scale parameter
*Scale-inverse-chi-square distribution
*Scatter matrix
*Scatterplot
*Scheffé's method
*Schwarz criterion
*Score (statistics)
*Score test
*Scoring algorithm
*Scoring rule
*SCORUS
*Scott's Pi
*Seasonal adjustment
*Secular trend
*Secular variation
*Seemingly unrelated regression
*Selection bias
*Selective recruitment
*Segmented regression
*Semantic mapping (statistics)
*Semantic relatedness
*Semiparametric model
*Semiparametric regression
*Semivariance
*Sensitivity (tests)
*Sensitivity and specificity
*Separation test
*Sequential analysis
*Sequential estimation
*Sequential Monte Carlo methods redirects toParticle filter
*Sequential probability ratio test
*SETAR (model) — a time series model
*Seven-number summary
*Sexual dimorphism measures
*Shape of the distribution
*Shape parameter
*Shapiro-Wilk test
*Sheppard's corrections
*Shifted Gompertz distribution
*Shrinkage (statistics)
*Sichel distribution
*Siegel-Tukey test
*Sieve estimator
*Sign test
*Signal-to-noise statistic
*Significance analysis of microarrays
*Similarity matrix
*Simon model
*Simple linear regression
*Simple moving average crossover
*Simple random sample
*Simpson's paradox
*Simultaneous equation model
*Singular distribution
*Sinusoidal model
*Sinkov statistic
*Skellam distribution
*Skew normal distribution
*Skewness
*Small area estimation
*Smearing retransformation
*Smoothing
*Smoothing spline
*Social statistics
*Sparse binary polynomial hashing
*Sparsity-of-effects principle
*Spatial analysis
*Spatial dependence
*Spatial descriptive statistics
*Spatial statistics redirects toSpatial analysis
*Spatial variability
*Spearman's rank correlation coefficient
*Spearman-Brown prediction formula
*Species discovery curve
*Specification (regression)
*Specificity (tests)
*Spectrum continuation analysis
*Speed prior
*SPRT — redirects toSequential probability ratio test
*SPSS
*Spurious relationship
*Squared deviations
*St. Petersburg paradox
*Stability (probability)
*Standard deviation
*Standard error (statistics)
*Standard normal table
*Standard score
*Standardized coefficient
*Standardized moment
*Standardized rate
*Stanine
*STAR model — a time series model
*Stata
*Stationary distribution
*Stationary process
*Statistic
*Statistical arbitrage
*Statistical assembly
*Statistical assumption
*Statistical classification
*Statistical conclusion validity
*Statistical consultant
*Statistical deviance—seedeviance (statistics)
*Statistical dispersion
*Statistical distance
*Statistical efficiency
*Statistical epidemiology
*Statistical estimation redirects toEstimation theory
*Statistical finance
*Statistical geography
*Statistical graphics
*Statistical hypothesis testing
*Statistical independence
*Statistical inference
*Statistical interference
*Statistical learning theory
*"Statistical Methods for Research Workers " — a book byRonald Fisher
*Statistical literacy
*Statistical model
*Statistical model validation
*Statistical noise
*Statistical package
*Statistical parameter
*Statistical parametric mapping
*Statistical parsing
*Statistical population
*Statistical power
*Statistical probability
*Statistical process control
*Statistical randomness
*Statistical range -- seerange (statistics)
*Statistical regularity
*Statistical sample
*Statistical semantics
*Statistical shape analysis
*Statistical signal processing
*Statistical significance
*Statistical survey
*Statistical syllogism
*Statistical theory
*Statistical unit
*Statisticians' and engineers' cross-reference of statistical terms
*Statistics
*Statistics Belgium
*Statistics education
*Statistics New Zealand
*Statistics Online Computational Resource
*StatPlus
*Stein's example
**Proof of Stein's example
*Stein's lemma
*Stein's unbiased risk estimate
*Stemplot
*Stepwise regression
*Stetson-Harrison method
*Stimulus-response model
*Stochastic
*Stochastic drift
*Stochastic kernel estimation
*Stochastic modelling (insurance)
*Stochastic ordering
*Stochastic process
*Stochastic rounding
*Stratified sampling
*Structural estimation
*Structured data analysis (statistics)
*Studentized range
*Studentized residual
*Student's t-distribution
*Student's t-test
*Study design
*Study heterogeneity
*Subcontrary mean redirects toHarmonic mean
*Subgroup analysis
*Sufficiency (statistics)
*Sum of normally distributed random variables
*Sum of squares
*Summary statistics
*Superstatistics
*Support curve
*Surrogate model
*Survey sampling
*Survival analysis
*Survival rate
*Survival function
*Survivorship bias
*System dynamics
*Systematic error (also seebias (statistics) anderrors and residuals in statistics )T
*t-distribution; see
Student's t-distribution (includes table)
*Taguchi methods
*Tajima's D
*Taylor expansions for the moments of functions of random variables
*Test for structural change
*Test-retest
*Testimator
*Testing hypotheses suggested by the data
*The Long Tail
*Time-frequency analysis
*Time-frequency representation
*Time series
*Time-series regression
*Time use survey
*Time-varying covariate
*Timeline of probability and statistics
*TinkerPlots — proprietary software for schools
*Tobit model
*Tolerance interval
*Top-coded
*Total least squares
*Total sum of squares
*Transect
*Transiogram
*Treatment groups
*Treatment learning
*Trend analysis
*Trend estimation
*Triangular distribution
*Trimean
*Trimmed estimator
*Trispectrum
*True variance
*Truncated distribution
*Truncated mean
*Truncated normal distribution
*Truncated regression model
*Truncation (statistics)
*Tsallis statistics
*Tukey's test
*Tukey-Kramer method
*Tukey lambda distribution
*Tweedie distributions
*Two stage least squares — redirects toInstrumental variable
*Two-tailed test
*Type I and type II errors
*Type-1 Gumbel distribution
*Type-2 Gumbel distribution
*Tyranny of averages U
*
u-chart
*U-statistic
*U test
*Unbiased estimator—seebias (statistics)
*Unbiased estimation of standard deviation
*Uncertainty
*Uncertainty quantification
*Uncomfortable science
*Uncorrelated
*Underdispersion
*U-quadratic distribution
*Uniform distribution (continuous)
*Uniform distribution (discrete)
*Uniformly most powerful test
*Unimodal distribution redirects toUnimodal function (has some stats context)
*Unit root
*Unit root test
*Unit-weighted regression
*Unitized risk
*Univariate
*Univariate distribution
*Unsolved problems in statistics
*Upper and lower probabilities
*Urn problem
*Utilization
*Utilization distribution V
*
Validity (statistics)
*Van der Waerden test
*Variance
*Variance inflation factor
*Variance-gamma distribution
*Variance-to-mean ratio
*Variation ratio
*Variogram
*Varimax rotation
*VC dimension
*VC theory
*Vector autoregression
*Violin plot
*Voigt profile
*Volatility (finance)
*Von Mises distribution
*Von Mises–Fisher distribution
*von Mises-Fisher distribution
*Vuong's closeness test
*Vysochanskiï-Petunin inequality W
*
Wald distribution redirects toInverse Gaussian distribution
*Wald test
*Wald's decision theory
*Wald-Wolfowitz runs test
*Wallenius' noncentral hypergeometric distribution
*Weibull distribution
*Weight function
*Weighted sample redirects toSample mean and sample covariance
*Weighted covariance matrix redirects toSample mean and sample covariance
*Weighted mean
*Welch's t test
*Welch-Satterthwaite equation
*Wilks' lambda distribution
*Winsorized mean
*Whipple's index
*White test
*White noise
*Wiener deconvolution
*Wiener filter
*Wigner quasi-probability distribution
*Wigner semicircle distribution
*Wilcoxon signed-rank test
*Will Rogers phenomenon
*Window function
*Winsorising
*Wishart distribution
*Wold's theorem
*Wombling
*Writer invariant X
*
X-12-ARIMA
*X-bar/R chart Y
*
Yamartino method
*Yates analysis
*Yates' correction for continuity
*Youden's J statistic
*Yule–Simon distribution Z
*
z-score
*z-factor
*z statistic
*Z-test
*Zeta distribution
*Zipf–Mandelbrot law — a discrete distribution
*Zipf's law External links
* [http://isi.cbs.nl/glossary/ ISI Glossary of Statistical Terms] (multilingual), International Statistical Institute
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