A Modern Approach to Regression with R

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Springer Science & Business Media, Mar 11, 2009 - Mathematics - 393 pages
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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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I found this statistics book very good and also contains more powerful knowledge that any student and lecturer may want. My problem is why not providing the solutions to the exercises given so that the student after working out the solution will compare his with that of the author.

Contents

Sheather_Ch01pdf
1
Sheather_Ch02pdf
15
Sheather_Ch03pdf
44
Sheather_Ch04pdf
115
Sheather_Ch05pdf
124
Sheather_Ch06pdf
151
Sheather_Ch07pdf
226
Sheather_Ch08pdf
263
Sheather_Ch09pdf
304
Sheather_Ch10pdf
331
Sheather_Appendpdf
371
Sheather_Referpdf
383
Sheather_Indexpdf
387
Sheather_BMpdf
393
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