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Least squares and regression analysis

Computational statistics

Correlation and dependence

Regression analysis

Regression as a
statistical model

Linear regression	Simple linear regression Ordinary least squares Generalized least squares Weighted least squares General linear model
Predictor structure	Polynomial regression Growth curve (statistics) Segmented regression Local regression
Non-standard	Nonlinear regression Nonparametric Semiparametric Robust Quantile Isotonic
Non-normal errors	Generalized linear model Binomial Poisson Logistic

Decomposition of variance

Model exploration

Background

Design of experiments

Numerical approximation

Applications