文档介绍：Springer Texts in Statistics
Series Editors:
G. Casella
S. Fienberg
I. Olkin
Springer Texts in Statistics
For other titles published in this series, go to
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Simon J. Sheather
A Modern Approach
to Regression with R
Simon J. Sheather
Department of Statistics
Texas A&M University
College Station, TX, USA
Editorial Board
e Casella Stephen Fienberg Ingram Olkin
Department of Statistics Department of Statistics Department of Statistics
University of Florida Carnegie Mellon University Stanford University
Gainesville, FL 32611-8545 Pittsburgh, PA 15213-3890 Stanford, CA 94305
USA USA USA
ISBN: 978-0-387-09607-0 e-ISBN: 978-0-387-09608-7
DOI: -0-387-09608-7
Library of Congress Control Number: 2008940909
© Springer Science+Business Media, LLC 2009
All rights reserved. This work may not be translated or copied in whole or in part without the written
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NY 10013, USA), except for brief excerpts in connection with reviews or scholarly analysis. Use in
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The use in this publication of trade names, trademarks, service marks, and similar terms, even if they are
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to proprietary rights.
Printed on acid-free paper
Dedicated to
My mother, Margaret,
and my wife, Filomena
Preface
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 t