| Document Type
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BL
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| Record Number
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598040
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| Doc. No
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GB9876279b427259
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| Main Entry
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Cook, R. Dennis
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| Title & Author
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Regression graphics : : ideas for studying regressions through graphics /\ R. Dennis Cook
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| Series Statement
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Wiley series in probability and statistics. Probability and statistics section
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| Page. NO
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xviii, 349 pages ;; 25 cm
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| ISBN
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0471193658
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: 9780471193654
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| Notes
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"A Wiley-Interscience publication."
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| Bibliographies/Indexes
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Includes bibliographical references (pages 329-337) and indexes
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| Contents
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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 Transformations -- 15. Graphics for Model Assessment
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| Abstract
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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 innovative reference makes use of a wide range of graphical tools, including 2D and 3D scatterplots, 3D binary response plots, and scatterplot matrices
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Supplemented by a companion ftp site, it features numerous data sets and applied examples that are used to elucidate the theory. Other important features of this book include: Extensive coverage of a relatively new regression context based on dimension-reduction subspaces and sufficient summary plots; graphical regression, an iterative visualization process for constructing sufficient regression views; graphics for regressions with a binary response; graphics for model assessment, including residual plots; net-effects plots for assessing predictor contributions; graphics for predictor and response transformations; inverse regression methods; and access to a Web site of supplemental plots, data sets, and 3D color displays
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An ideal text for students in graduate-level courses on statistical analysis, Regression Graphics is also an excellent reference for professional statisticians
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| Subject
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Regression analysis-- Graphic methods
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| Subject
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Regression Analysis
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| Subject
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Computer Graphics
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| Dewey Classification
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519.5/36
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| LC Classification
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QA278.2.C6647 1998
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| NLM classification
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QA 278.2C771r 1998
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