2007Unpublished venueRequires access

Regression

Michael J. Crawley

Open publisher page 5 citations

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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What this paper is about

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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Available 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

Key concepts: Segmented regression, Proper linear model, Polynomial regression, Jackknife resampling, Regression diagnostic, Mathematics, Regression analysis, Linear regression

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