Outline of regression analysis
The following outline is provided as an overview of and topical guide to regression analysis:
Regression analysis – use of statistical techniques for learning about the relationship between one or more dependent variables (Y) and one or more independent variables (X).
Overview articles
Non-statistical articles related to regression
- Least squares
- Linear least squares (mathematics)
- Non-linear least squares
- Least absolute deviations
- Curve fitting
- Smoothing
- Cross-sectional study
Basic statistical ideas related to regression
- Conditional expectation
- Correlation
- Correlation coefficient
- Mean square error
- Residual sum of squares
- Explained sum of squares
- Total sum of squares
Visualization
Linear regression based on least squares
- General linear model
- Ordinary least squares
- Generalized least squares
- Simple linear regression
- Trend estimation
- Ridge regression
- Polynomial regression
- Segmented regression
- Nonlinear regression
Generalized linear models
- Generalized linear models
- Logistic regression
- Multinomial logit
- Ordered logit
- Probit model
- Poisson regression
- Maximum likelihood
- Cochrane–Orcutt estimation
Computation
Inference for regression models
Challenges to regression modeling
Diagnostics for regression models
Formal aids to model selection
Robust regression
Terminology
- Linear model — relates to meaning of "linear"
- Dependent and independent variables
- Errors and residuals in statistics
- Hat matrix
- Trend-stationary process
- Cross-sectional data
- Time series
Methods for dependent data
- Mixed model
- Random effects model
- Hierarchical linear models
Nonparametric regression
Semiparametric regression
Other forms of regression
- Total least squares regression
- Deming regression
- Errors-in-variables model
- Instrumental variables regression
- Quantile regression
- Generalized additive model
- Autoregressive model
- Moving average model
- Autoregressive moving average model
- Autoregressive integrated moving average
- Autoregressive conditional heteroskedasticity
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See also
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