Regression
Michael J. Crawley
Abstract
Michael J. Crawley
Abstract
This chapter contains sections titled: Linear Regression Polynomial Approximations to Elementary Functions Polynomial Regression Fitting a Mechanistic Model to Data Linear Regression after Transformation Prediction following Regression Testing for Lack of Fit in a Regression with Replicated Data at Each Level of x Bootstrap with Regression Jackknife with regression Jackknife after Bootstrap Serial correlation in the residuals Piecewise Regression Robust Fitting of Linear Models Model Simplification The Multiple Regression Model
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This chapter contains sections titled: Linear Regression Polynomial Approximations to Elementary Functions Polynomial Regression Fitting a Mechanistic Model to Data Linear Regression after Transformation Prediction following Regression Testing for Lack of Fit in a Regression with Replicated Data at Each Level of x Bootstrap with Regression Jackknife with regression Jackknife after Bootstrap Serial correlation in the residuals Piecewise Regression Robust Fitting of Linear Models Model Simplification The Multiple Regression Model
Key concepts: Segmented regression, Proper linear model, Polynomial regression, Jackknife resampling, Regression diagnostic, Mathematics, Regression analysis, Linear regression