Applied Regression Including Computing and Graphics (Wiley Series in Probability and Statistics)

✍ Scribed by R. Dennis Cook, Sanford Weisberg

• Publisher: Wiley-Interscience
• Year: 1999
• Tongue: English
• Leaves: 620
• Series: Wiley series in probability and statistics
• Edition: 1
• Category: Library

✦ Synopsis

A step-by-step guide to computing and graphics in regression analysisIn 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-to-digest chapters, the authors present:? A wealth of simple 2D and 3D graphical techniques, helping visualize results through graphs An improved version of the user-friendly Arc software, which lets readers promptly implement new ideas Complete coverage of regression models, including logistic regression 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 aticsAccessible, self-contained, and fully referenced, Applied Regression Including Computing and Graphics assumes only a first course in basic statistical methods and provides a bona fide user manual for the Arc software. It is an invaluable resource for anyone interested in learning how to analyze regression problems with confidence and depth.

✦ Table of Contents

Contents......Page 8
Preface......Page 24
PART I Introduction......Page 28
Looking Forward and Back......Page 30
Introduction to Regression......Page 54
Introduction to Smoothing......Page 67
Bivariate Distributions......Page 83
Two-Dimensional Plots......Page 108
PART II Tools......Page 122
Simple Linear Regression......Page 124
Introduction to Multiple Linear Regression......Page 166
Three-Dimensional Plots......Page 212
Weights and Lack-of-Fit......Page 229
Understanding Coefficients......Page 257
Relating Mean Functions......Page 290
Factors and Interactions......Page 314
Response Transformations......Page 343
Diagnostics I: Curvature and Nonconstant Variance......Page 361
Diagnostics II: Influence and Outliers......Page 381
Predictor Transformations......Page 400
Model Assessment......Page 423
PART III Regression Graphics......Page 436
Visualizing Regression......Page 438
Visualizing Regression with Many Predictors......Page 457
Graphical Regression......Page 473
PART IV Logistic Regression And Generalized Linear Models......Page 492
Binomial Regression......Page 494
Graphical and Diagnostic Methods for Logistic Regression......Page 524
Generalized Linear Models......Page 552
Appendix A Arc......Page 572
References......Page 598
Author Index......Page 606
Subject Index......Page 610

✦ Subjects

Финансово-экономические дисциплины;Статистический анализ экономических данных;