User:Amatdiou/Books/Regression analysis

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Regression analysis[edit]

Category: Regression analysis; Outline of regression analysis; Regression analysis; Additive model; Antecedent variable; Autocorrelation; Backfitting algorithm; Bayesian linear regression; Bayesian multivariate linear regression; Calibration (statistics); Canonical analysis; Causal inference; Censored regression model; CHAID; Coefficient of determination; Comparison of general and generalized linear models; Component analysis (statistics); Compressed sensing; Conditional change model; Controlling for a variable; Cross-sectional regression; Curve fitting; Deming regression; Dependent and independent variables; Design matrix; Difference in differences; Dummy variable (statistics); Elastic net regularization; Errors and residuals in statistics; Errors-in-variables models; Explained sum of squares; Explained variation; Factor regression model; First-hitting-time model; Fixed effects model; Fraction of variance unexplained; Frisch–Waugh–Lovell theorem; General linear model; Generalized estimating equation; Generalized least squares; Generalized linear model; Growth curve; Guess value; Hat matrix; Heckman correction; Heteroscedasticity-consistent standard errors; Hierarchical generalized linear model; Hosmer–Lemeshow test; Influential observation; Instrumental variable; Interaction (statistics); Isotonic regression; Iteratively reweighted least squares; Kitchen sink regression; Lack-of-fit sum of squares; Least squares; Leverage (statistics); Limited dependent variable; Linear least squares (mathematics); Linear model; Linear regression; Local regression; Mallows's Cp; Mean and predicted response; Meta-regression; Mixed model; Moderated mediation; Moderation (statistics); Moving least squares; Multicollinearity; Multinomial logistic regression; Multinomial probit; Multiple correlation; Multivariate adaptive regression splines; Multivariate probit model; Newey–West estimator; Non-linear least squares; Nonlinear regression; Nonparametric regression; Omitted-variable bias; Optimal design; Ordered logit; Ordinal regression; Ordinary least squares; Overfitting; Partial least squares regression; Partition of sums of squares; Path analysis (statistics); Path coefficient; Poisson regression; Policy capturing; Polynomial and rational function modeling; Polynomial regression; Prediction interval; Principal component regression; Principle of marginality; Probit model; Projection pursuit regression; Proofs involving ordinary least squares; Propensity score matching; Proper linear model; Proportional hazards model; Pyrrho's lemma; Quantile regression; Radial basis function network; Random multinomial logit; Regression dilution; Regression model validation; Regression toward the mean; Residual sum of squares; Robust regression; Savitzky–Golay filter for smoothing and differentiation; Scatterplot smoothing; Seemingly unrelated regressions; Segmented regression; Semiparametric regression; Separation (statistics); Simple linear regression; Sinusoidal model; Sliced inverse regression; Smearing retransformation; Smoothing spline; Sobel test; Specification (regression); Standardized coefficient; Stepwise regression; Structural equation modeling; Tobit model; Total least squares; Total sum of squares; Trend analysis; Truncated regression model; Unit-weighted regression; Variable rules analysis; Virtual sensing; Zero-inflated model
Category: Choice modelling; Choice modelling; Discrete choice; MaxDiff; Preference regression; Preference-rank translation
Category: Generalized linear models; Binomial regression; Generalized additive model; Generalized additive model for location, scale and shape; Generalized linear array model; Generalized linear mixed model; Linear probability model
Category: Least squares; Discrete least squares meshless method; Gauss–Newton algorithm; Least squares (function approximation); Least squares support vector machine; Levenberg–Marquardt algorithm; Mean squared error; Non-linear iterative partial least squares; Numerical smoothing and differentiation
Category: Nonparametric regression
Category: Statistical outliers; Outlier; Anomaly detection; Box plot; Chauvenet's criterion; Cook's distance; Dixon's Q test; Grubbs' test for outliers; Local outlier factor; Outliers ratio; Peirce's criterion; RANSAC; Studentized residual
Category: Regression and curve fitting software; CumFreq; DataScene; Fityk; GraphPad Prism; Gretl; IGOR Pro; LabPlot; MagicPlot; Mathematica; Origin (software); PeakFit; QtiPlot; Regression Analysis of Time Series; SegReg; SHAZAM (software); SimFiT; TableCurve 2D
Category: Regression diagnostics; Breusch–Godfrey test; Breusch–Pagan test; Chow test; DFFITS; Goldfeld–Quandt test; Park test; Partial leverage; Partial regression plot; Partial residual plot; Portmanteau test; PRESS statistic; Ramsey RESET test; Regression diagnostic; Variance inflation factor; White test
Category: Regression variable selection; Akaike information criterion; Bayesian information criterion; Cross-validation (statistics); Deviance information criterion; Focused information criterion; Freedman's paradox; Group method of data handling; Hannan–Quinn information criterion; Least-angle regression; Model selection
Category: Nonparametric regression
Category: Regression with time series structure; Cochrane–Orcutt estimation; Prais–Winsten estimation; Time-series regression; Unit root
Category: Robust regression; Least absolute deviations; Least trimmed squares; M-estimator; Theil–Sen estimator