Regression Graphics: Ideas for Studying Regressions Through Graphics

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9780471193654: 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 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. 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 Access to a Web site of supplemental plots, data sets, and 3D color displays. 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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Recensione:

In summary, it is a very well-written book with a good blend of theory and application. Some of the chapters in the book are very theoretical and very extensive so that a researcher in this area will benefit much from reading this book. Practitioners will also benefit by getting the basic ideas of the various concepts and understanding them through the abundant number of examples in the book. (Statistical Methods in Medical Research, 9: 602-604, 2000)

"...a very well-written book with a good blend of theory and application." (Statistical Methods in Medical Research, 9: 602-604, 2000)

L'autore:

R. DENNIS COOK is Professor, Department of Applied Statistics, University of Minnesota. He is the coauthor of An Introduction to Regression Graphics and numerous articles on regression and experimental design. He received his PhD in statistics from Kansas State University and is a Fellow of the American Statistical Association and the Institute of Mathematical Statistics.

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Descrizione libro Wiley-Interscience. Hardcover. Condizione libro: New. 0471193658 New Condition. Codice libro della libreria NEW6.0246222

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Descrizione libro Wiley-Interscience. Hardcover. Condizione libro: New. 0471193658 New. Looks like an interesting title, learn more! We provide domestic tracking upon request. We provide personalized customer service and want you to have a great experience purchasing from us. 100% satisfaction guaranteed and thank you for your consideration. Codice libro della libreria S-0471193658

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Descrizione libro John Wiley and Sons Ltd, United States, 1998. Hardback. Condizione libro: New. New.. 246 x 157 mm. Language: English . Brand New Book. 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 innovative reference makes use of a wide range of graphical tools, including 2D and 3D scatterplots, 3D binary response plots, and scatterplot matrices. Supplemented by a companion 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 Access to a Web site of supplemental plots, data sets, and 3D color displays. An ideal text for students in graduate--level courses on statistical analysis, Regression Graphics is also an excellent reference for professional statisticians. Codice libro della libreria AAH9780471193654

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Descrizione libro John Wiley and Sons Ltd, United States, 1998. Hardback. Condizione libro: New. New.. 246 x 157 mm. Language: English . Brand New Book. 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 innovative reference makes use of a wide range of graphical tools, including 2D and 3D scatterplots, 3D binary response plots, and scatterplot matrices. Supplemented by a companion 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 Access to a Web site of supplemental plots, data sets, and 3D color displays. An ideal text for students in graduate--level courses on statistical analysis, Regression Graphics is also an excellent reference for professional statisticians. Codice libro della libreria AAH9780471193654

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