An introduction to regression graphics / R. Dennis Cook, Sanford Weisberg.

Format:

Book

Author/Creator:

Cook, R. Dennis.

Contributor:

Weisberg, Sanford, 1947-

Series:

Wiley series in probability and mathematical statistics. Probability and mathematical statistics

Language:

English

Subjects (All):

Regression analysis--Graphic methods--Data processing.

Regression analysis.

Regression analysis--Graphic methods.

Physical Description:

xx, 253 pages : illustrations ; 24 cm + 2 computer disks (3 1/2 in.)

Place of Publication:

New York : Wiley, [1994]

Summary:

Understanding how a response variable depends on one or more predictor variables is a universal scientific problem. Regression analysis consists of ideas and methods for addressing this problem. Historically, regression methods have been largely numerical, with graphics playing an important but subsidiary role. By allowing informative and novel visualizations of regression data, modern computer hardware and software promise to reverse the historical roles of numerical and graphical regression methods. How shall this be done in practice? What can be learned from graphs and which graphs should be drawn? How can graphs be used to learn about fundamental features of regression problems? An Introduction to Regression Graphics answers these questions and more, providing the ideas, methodology, and software needed to use graphs in regression. From simple manipulations, such as changing the aspect ratio and marking points, to more sophisticated ideas like extracting smooths or looking at uncorrelated directions in 3D plots, R. Dennis Cook and Sanford Weisberg provide step-by-step software instructions and concise explanations of how graphs can be used in almost any regression problem.

Notes:

"A Wiley-Interscience publication."

Includes bibliographical references (pages 241-244) and index.

ISBN:

0471008397

OCLC:

30546399