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9780471008392

An Introduction to Regression Graphics/Book and 2 Disks

by ;
  • ISBN13:

    9780471008392

  • ISBN10:

    0471008397

  • Format: Hardcover
  • Copyright: 1994-08-11
  • Publisher: Wiley-Interscience

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Supplemental Materials

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Summary

Covers the use of dynamic and interactive computer graphics in linear regression analysis, focusing on analytical graphics. Features new techniques like plot rotation. The authors have composed their own regression code, using Xlisp-Stat language called R-code, which is a nearly complete system for linear regression analysis and can be utilized as the main computer program in a linear regression course. The accompanying disks, for both Macintosh and Windows computers, contain the R-code and Xlisp-Stat. An Instructor's Manual presenting detailed solutions to all the problems in the book is available upon request from the Wiley editorial department.

Author Biography

About the authors R. DENNIS COOK is Professor, Department of Applied Statistics, University of Minnesota. An active researcher in regression theory and methods, Dr. Cook is a Fellow of the American Statistical Association and of the Institute of Mathematical Statistics, and is an elected member of the International Statistical Institute. Dr. Cook received his PhD degree in statistics from Kansas State University. SANFORD WEISBERG is Professor, Department of Applied Statistics, University of Minnesota. The author of Applied Linear Regression, Second Edition (Wiley), he is a Fellow of the American Statistical Association and an elected member of the International Statistical Institute. Dr. Weisberg received his PhD degree in statistics from Harvard University. The authors have jointly published about twenty works, including Residuals and Influence in Regression and a 1989 paper on regression graphics that earned the Jack Youden prize.

Table of Contents

Getting Started.
Simple Regression Plots.
Two-Dimensional Plots.
Scatterplot Matrices.
Three-Dimensional Plots.
Visualizing Linear Regression with Two Predictors.
Visualizing Regression Without Linearity.
Finding Dimension.
Predictor Transformations.
Response Transformations.
Checking Models.
Assessing Predictors.
Influence and Outliers.
Confidence Regions.
Appendices.
References.
Index.

Supplemental Materials

What is included with this book?

The New copy of this book will include any supplemental materials advertised. Please check the title of the book to determine if it should include any access cards, study guides, lab manuals, CDs, etc.

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