Cook Regression Graphics

Ideas for Studying Regressions Through Graphics
1. Auflage 2009
ISBN: 978-0-470-31777-8
Verlag: John Wiley & Sons
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, Band 1, 350 Seiten, E-Book

Reihe: Wiley Series in Probability and Statistics

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.

Autoren/Hrsg.

Cook, R. Dennis

Inhaltsverzeichnis

Introduction to 2D Scatterplots.
Constructing 3D Scatterplots.
Interpreting 3D Scatterplots.
Binary Response Variables.
Dimension-Reduction Subspaces.
Graphical Regression.
Getting Numerical Help.
Graphical Regression Studies.
Inverse Regression Graphics.
Sliced Inverse Regression.
Principles Hessian Directions.
Studying Predictor Effects.
Predictor Transformations.
Graphics for Model Assessment.
Bibliography.
Indexes.

Über Autor(innen)

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.