A Modern Approach to Regression with R

A Modern Approach to Regression with R by Simon Sheather is a comprehensive resource published by Springer Science & Business Media on March 11, 2009. This edition spans 393 pages and is presented in English. The book focuses on tools and techniques for building regression models using real-world data while emphasizing the importance of assessing their validity. It highlights the necessity of basing inferences on valid models and explores the role of plots in both constructing and evaluating these models.
Readers will find a detailed examination of the mathematical properties of fitted regression models and diagnostic procedures. The book addresses the challenges of interpreting plots and understanding residual patterns, which can indicate model misspecification. Throughout the text, regression output and plots generated using R are included, with minor edits for clarity. Additionally, the R code for each example is available on the book’s website, providing practical support for readers engaged in the study of mathematics, probability and statistics, and econometrics.
Official synopsis Publisher
This book 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. Plots are shown to be an important tool for both building regression models and assessing their validity. We shall see that deciding what to plot and how each plot should be interpreted will be a major challenge. In order to overcome this challenge we shall need to understand the mathematical properties of the fitted regression models and associated diagnostic procedures. As such this will be an area of focus throughout the book. In particular, we shall carefully study the properties of resi- als in order to understand when patterns in residual plots provide direct information about model misspecification and when they do not. The regression output and plots that appear throughout the book have been gen- ated using R. The output from R that appears in this book has been edited in minor ways. On the book web site you will find the R code used in each example in the text.
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