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Regression analysis

Table of contents

Curve fitting

Nonparametric regression

Regression and curve fitting software

Regression diagnostics

Regression models

Regression variable selection

Regression with time series structure

Robust regression

Simultaneous equation methods (econometrics)

Single-equation methods (econometrics)

Antecedent variable

Bazemore v. Friday

Binary regression

Blinder–Oaxaca decomposition

C+-probability

Calibration (statistics)

Canonical analysis

Causal inference

Coefficient of multiple correlation

Commonality analysis

Component analysis (statistics)

Conjoint analysis

Contrast (statistics)

Cross-sectional regression

DeFries–Fulker regression

Deming regression

Dependent and independent variables

Difference in differences

Elastic net regularization

Errors and residuals

Explained variation

Fractional model

Frisch–Waugh–Lovell theorem

Function approximation

Functional regression

G-prior

General regression neural network

Generalized estimating equation

Generated regressor

Guess value

Haseman–Elston regression

Heckman correction

Heteroskedasticity-consistent standard errors

Homoscedasticity and heteroscedasticity

Identifiability analysis

Instrumental variables estimation

Interaction (statistics)

Interaction cost

Interval predictor model

Knockoffs (statistics)

Lasso (statistics)

Limited dependent variable

Line fitting

Linear predictor function

Linkage disequilibrium score regression

Meta-regression

Moderated mediation

Moderation (statistics)

Multicollinearity

Multinomial probit

Non-linear mixed-effects modeling software

Nonhomogeneous Gaussian regression

Nonlinear regression

Omitted-variable bias

Optimal design

Outline of regression analysis

Policy capturing

Polygenic score

Polynomial regression

Prediction interval

Principal component regression

Principle of marginality

Projection pursuit regression

Propensity score matching

Pyrrho's lemma

Quantile regression

Quantile regression averaging

Radial basis function network

Regression discontinuity design

Regression toward the mean

Scatterplot smoothing

Simalto

Simple linear regression

Sliced inverse regression

Smearing retransformation

Smoothing spline

Sobel test

Standardized coefficient

Structural break

Suppressor variable

Unit-weighted regression

Variance of the mean and predicted responses

Virtual sensing

Working–Hotelling procedure

 Ancestors (5)

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