Regression Graphics

Beschreibung

An exploration of regression graphics through computergraphics. Recent developments in computer technology have stimulated new andexciting uses for graphics in statistical analyses. RegressionGraphics, one of the first graduate-level textbooks on the subject,demonstrates how statisticians, both theoretical and applied, canuse these exciting innovations. After developing a relatively newregression context that requires few scope-limiting conditions,Regression Graphics guides readers through the process of analyzingregressions graphically and assessing and selecting models. Thisinnovative reference makes use of a wide range of graphical tools,including 2D and 3D scatterplots, 3D binary response plots, andscatterplot matrices. Supplemented by a companion ftp site, itfeatures numerous data sets and applied examples that are used toelucidate the theory. Other important features of this book include: * Extensive coverage of a relatively new regression context basedon dimension-reduction subspaces and sufficient summary plots * Graphical regression, an iterative visualization process forconstructing 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 3Dcolor displays. An ideal text for students in graduate-level courses on statisticalanalysis, Regression Graphics is also an excellent reference forprofessional statisticians.

Autor*in

R. Dennis Cook

Themen in »Regression Graphics«

Computational & Graphical Statistics Graphische Darstellung Rechnergestützte u. graphische Statistik Regression (Math.) Statistics Statistik

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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)
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