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Regression graphics ideas for studying regressions through graphics /

An exploration of regression graphics through computer graphics. Recent developments in computer technology have stimulated new and exciting uses for graphics in statistical analyses. Regression Graphics, one of the first graduate-level textbooks on the subject, demonstrates how statisticians, both...

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Bibliographic Details
Main Authors: Cook, R. Dennis
Corporate Authors: Wiley InterScience Online service
Published:
Literature type: Electronic eBook
Language: English
Series: Wiley series in probability and statistics. Probability and statistics section
Subjects:
Regression analysis > Graphic methods
Regressieanalyse
Grafische voorstellingen
MATHEMATICS > Probability & Statistics > Regression Analysis
Regression analysis
Computer graphics
Electronic books
Online Access: http://onlinelibrary.wiley.com/book/10.1002/9780470316931
Summary: An exploration of regression graphics through computer graphics. Recent developments in computer technology have stimulated new and exciting uses for graphics in statistical analyses. Regression Graphics, one of the first graduate-level textbooks on the subject, demonstrates how statisticians, both theoretical and applied, can use these exciting innovations. After developing a relatively new regression context that requires few scope-limiting conditions, Regression Graphics guides readers through the process of analyzing regressions graphically and assessing and selecting models. This innova
Item Description: "A Wiley-Interscience publication."
Carrier Form: xviii, 349 p. ; 25 cm.
Bibliography: Includes bibliographical references (p. 329-337) and indexes.
ISBN: 9780470316931
0470316934
9780470317778 (electronic bk.)
0470317779 (electronic bk.)
Index Number: QA278
CLC: O212.1
Contents: Regression Graphics Ideas for Studying Regressions through Graphics; Contents; Preface; 1. Introduction; 2. Introduction to 2D Scatterplots; 3. Constructing 3D Scatterplots; 4. Interpreting 3D Scatterplots; 5. Binary Response Variables; 6. Dimension-Reduction Subspaces; 7. Graphical Regression; 8. Getting Numerical Help; 9. Graphical Regression Studies; 10. Inverse Regression Graphics; 11. Sliced Inverse Regression; 12. Principal Hessian Directions; 13. Studying Predictor Effects; 14. Predictor 'Ransformations; 15. Graphics for Model Assessment; Bibliography; Author Index; Subject Index.

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