A Modern Approach to Regression with R (Hardcover)

Simon Sheather

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Language: English

Published by Springer-Verlag New York Inc., New York, NY, 2009

0387096078 / 9780387096070

Series: Book 35 of 111 - Springer Texts in Statistics

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Hardcover. 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. 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. The regression output and plots that appear throughout the book have been gen- ated using R. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

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Title
A Modern Approach to Regression with R (Hardcover)
Author
Simon Sheather
Publisher
Springer-Verlag New York Inc., New York, NY
Publication year
2009
Condition
new
Binding
Hardcover
Language
English
ISBN 10
0387096078
ISBN 13
9780387096070
Series
Book 35 of 111: Springer Texts in Statistics

Grand Eagle Retail

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