Regression Graphics: Ideas for Studying Regressions Through 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.