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Applied regression including computing and graphics

A step-by-step guide to computing and graphics in regression analysis. In this unique book, leading statisticians Dennis Cook and Sanford Weisberg expertly blend regression fundamentals and cutting-edge graphical techniques. They combine and up- date most of the material from their widely used earli...

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Bibliographic Details
Main Authors: Cook, R. Dennis
Corporate Authors: Wiley InterScience Online service
Group Author: Weisberg, Sanford, 1947
Published:
Literature type: Electronic eBook
Language: English
Series: Wiley series in probability and statistics. Texts and references section
Subjects:
Regression analysis
Analyse de régression
MATHEMATICS > Probability & Statistics > Regression Analysis
Regressieanalyse
Toepassingen
ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO
Análise multivariada
Mathematical Computing
Electronic books
Online Access: http://onlinelibrary.wiley.com/book/10.1002/9780470316948
Summary: A step-by-step guide to computing and graphics in regression analysis. In this unique book, leading statisticians Dennis Cook and Sanford Weisberg expertly blend regression fundamentals and cutting-edge graphical techniques. They combine and up- date most of the material from their widely used earlier work, An Introduction to Regression Graphics, and Weisberg's Applied Linear Regression; incorporate the latest in statistical graphics, computing, and regression models; and wind up with a modern, fully integrated approach to one of the most important tools of data analysis. In 23 concise, easy
Item Description: "A Wiley-Interscience publication."
Carrier Form: 1 online resource (xxvi, 593 pages) : illustrations.
Bibliography: Includes bibliographical references (pages 571-578) and indexes.
ISBN: 9780470316948
0470316942
9780470317785 (electronic bk.)
0470317787 (electronic bk.)
Index Number: QA278
CLC: O212.1
Contents: Applied Regression Including Computing and Graphics; Contents; Preface; PART I INTRODUCTION; 1 Looking Forward and Back; 2 Introduction to Regression; 3 Introduction to Smoothing; 4 Bivariate Distributions; 5 Two-Dimensional Plots; PART II. TOOLS; 6 Simple Linear Regression; 7 Introduction to Multiple Linear Regression; 8 Three-Dimensional Plots; 9 Weights and Lack-of-Fit; 10 Understanding Coefficients; 11 Relating Mean Functions; 12 Factors and Interactions; 13 Response Transformations; 14 Diagnostics I: Curvature and Nonconstant Variance; 15 Diagnostics II: Influence and Outliers.

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