Category:Regression analysis

• Lasso (statistics)
• Outline of regression analysis
• Regression analysis

A

• Additive model
• Antecedent variable
• Autocorrelation

B

• Backfitting algorithm
• Bayesian linear regression
• Bayesian multivariate linear regression

C

• Calibration (statistics)
• Causal inference
• Censored regression model
• CHAID
• Coefficient of determination
• Compressed sensing
• Controlling for a variable
• Cross-sectional regression
• Curve fitting

D

• Deming regression
• Design matrix
• Difference in differences
• Dummy variable (statistics)

E

• Errors-in-variables models
• Explained sum of squares

F

• First-hitting-time model
• Fixed effects model
• Fraction of variance unexplained
• Frisch–Waugh–Lovell theorem

G

• General linear model
• Generalized estimating equation
• Generalized least squares
• Generalized linear model
• Guess value

H

• Heckman correction
• Hosmer–Lemeshow test

I

• Instrumental variable
• Interaction (statistics)
• Isotonic regression

K

• Kitchen sink regression

L

• Least squares
• Limited dependent variable
• Linear least squares (mathematics)
• Linear model
• Linear regression
• Local regression
• Logistic regression

M

• Mallows's Cp
• Mean and predicted response
• Moving least squares
• Multicollinearity
• Multinomial logistic regression
• Multiple correlation
• Multivariate adaptive regression splines
• Multivariate probit model

N

• Nonlinear regression
• Nonparametric regression

O

• Oaxaca decomposition
• Omitted-variable bias
• Optimal design
• Ordered logit
• Ordinary least squares
• Overfitting

P

• Partial least squares regression
• Partition of sums of squares
• Path analysis (statistics)
• Path coefficient
• Poisson regression
• Prediction interval
• Principal component regression
• Probit model
• Projection pursuit regression
• Propensity score matching
• Proper linear model

R

• Radial basis function network
• Regression dilution
• Regression toward the mean
• Regression validation
• Residual sum of squares
• Robust regression

S

• Seemingly unrelated regressions
• Segmented regression
• Semiparametric regression
• Simple linear regression
• Sinusoidal model
• Sliced inverse regression
• Smearing retransformation
• Sobel test
• Specification (regression)
• Standardized coefficient
• Stepwise regression
• Structural equation modeling

T

• Tobit model
• Total least squares
• Total sum of squares
• Trend analysis
• Truncated regression model

U

• Unit-weighted regression

V

• Variable rules analysis