Cook / Weisberg Applied Regression Including Computing and Graphics

1. Auflage 2009
ISBN: 978-0-470-31778-5
Verlag: John Wiley & Sons
Format: PDF
Kopierschutz: 0 - No protection

E-Book, Englisch, 632 Seiten, E-Book

Reihe: Wiley Series in Probability and Statistics

A step-by-step guide to computing and graphics in regressionanalysis
In this unique book, leading statisticians Dennis Cook and SanfordWeisberg expertly blend regression fundamentals and cutting-edgegraphical techniques. They combine and up- date most of thematerial from their widely used earlier work, An Introduction toRegression Graphics, and Weisberg's Applied Linear Regression;incorporate the latest in statistical graphics, computing, andregression models; and wind up with a modern, fully integratedapproach to one of the most important tools of data analysis.
In 23 concise, easy-to-digest chapters, the authors present:? Awealth of simple 2D and 3D graphical techniques, helping visualizeresults through graphs
* An improved version of the user-friendly Arc software, which letsreaders promptly implement new ideas
* Complete coverage of regression models, including logisticregression and generalized linear models
* More than 300 figures, easily reproducible on the computer
* Numerous examples and problems based on real data
* A companion Web site featuring free software and advice,available at www.wiley.com/mathem atics
Accessible, self-contained, and fully referenced, AppliedRegression Including Computing and Graphics assumes only a firstcourse in basic statistical methods and provides a bona fide usermanual for the Arc software. It is an invaluable resource foranyone interested in learning how to analyze regression problemswith confidence and depth.

Autoren/Hrsg.

Cook, R. Dennis

Weisberg, Sanford

Inhaltsverzeichnis

Looking Forward and Back.
Introduction to Regression.
Introduction to Smoothing.
Bivariate Distributions.
Two-Dimensional Plots.
TOOLS.
Simple Linear Regression.
Introduction to Multiple Linear Regression.
Three-Dimensional Plots.
Weights and Lack-of-Fit.
Understanding Coefficients.
Relating Mean Functions.
Factors and Interactions.
Response Transformations.
Diagnostics I: Curvature and Nonconstant Variance.
Diagnostics II: Influence and Outliers.
Predictor Transformations.
Model Assessment.
REGRESSION GRAPHICS.
Visualizing Regression.
Visualizing Regression with Many Predictors.
Graphical Regression.
LOGISTIC REGRESSION AND GENERALIZED LINEAR MODELS.
Binomial Regression.
Graphical and Diagnostic Methods for Logistic Regression.
Generalized Linear Models.
Appendix.
References.
Indexes.

Über Autor(innen)

R. DENNIS COOK, PhD, is Professor of Statistics at the Universityof Minnesota.
SANFORD WEISBERG, PhD, is Professor of Statistics and Director ofthe Statistical Consulting Service at the University of Minnesota.