A Modern Approach to Regression with R

A Modern Approach to Regression with R focuses on tools and techniques for building regression models using real-world data and assessing their validity. A key theme throughout the book is that it makes sense to base inferences or conclusions only on valid models. The regression output and plots tha...

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Bibliographic Details
Main Author: Sheather, Simon. (Author)
Corporate Author: SpringerLink (Online service)
Format: Electronic
Language:English
Published: New York, NY : Springer New York : Imprint: Springer, 2009.
Series:Springer Texts in Statistics,
Subjects:
Online Access:https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.1007/978-0-387-09608-7
Table of Contents:
  • Introduction
  • Simple linear regression
  • Diagnostics and transformations for simple linear regression
  • Weighted least squares
  • Diagnostics and transformations for multiple linear regression
  • Variable selection
  • Logistic regression
  • Serially correlated errors
  • Mixed models
  • Appendix: Nonparametric smoothing.