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Regression analysis

Table of contents

Curve fitting

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Nonparametric regression

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Regression and curve fitting software

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Regression diagnostics

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Regression models

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Regression variable selection

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Regression with time series structure

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Robust regression

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Simultaneous equation methods (econometrics)

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Single-equation methods (econometrics)

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Antecedent variable

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Bazemore v. Friday

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Binary regression

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Blinder–Oaxaca decomposition

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C+-probability

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Calibration (statistics)

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Canonical analysis

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Causal inference

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Coefficient of multiple correlation

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Commonality analysis

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Component analysis (statistics)

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Conjoint analysis

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Contrast (statistics)

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Cross-sectional regression

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DeFries–Fulker regression

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Deming regression

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Dependent and independent variables

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Difference in differences

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Elastic net regularization

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Errors and residuals

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Explained variation

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Fractional model

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Frisch–Waugh–Lovell theorem

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Function approximation

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Functional regression

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G-prior

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General regression neural network

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Generalized estimating equation

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Generated regressor

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Guess value

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Haseman–Elston regression

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Heckman correction

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Heteroskedasticity-consistent standard errors

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Homoscedasticity and heteroscedasticity

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Identifiability analysis

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Instrumental variables estimation

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Interaction (statistics)

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Interaction cost

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Interval predictor model

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Knockoffs (statistics)

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Lasso (statistics)

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Limited dependent variable

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Line fitting

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Linear predictor function

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Linkage disequilibrium score regression

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Meta-regression

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Moderated mediation

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Moderation (statistics)

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Multicollinearity

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Multinomial probit

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Non-linear mixed-effects modeling software

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Nonhomogeneous Gaussian regression

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Nonlinear regression

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Omitted-variable bias

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Optimal design

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Outline of regression analysis

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Policy capturing

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Polygenic score

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Polynomial regression

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Prediction interval

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Principal component regression

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Principle of marginality

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Projection pursuit regression

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Propensity score matching

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Pyrrho's lemma

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Quantile regression

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Quantile regression averaging

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Radial basis function network

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Regression discontinuity design

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Regression toward the mean

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Scatterplot smoothing

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Simalto

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Simple linear regression

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Sliced inverse regression

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Smearing retransformation

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Smoothing spline

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Sobel test

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Standardized coefficient

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Structural break

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Suppressor variable

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Unit-weighted regression

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Variance of the mean and predicted responses

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Virtual sensing

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Working–Hotelling procedure

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