Applied regression analysis : a research tool
 Responsibility
 John O. Rawlings.
 Language
 English.
 Imprint
 Pacific Grove, Calif. : Wadsworth & Brooks/Cole Advanced Books & Software, c1988.
 Physical description
 xvii, 553 p. : ill. ; 25 cm.
 Series
 Wadsworth & Brooks/Cole statistics/probability series
Access
Available online
SAL3 (offcampus storage)
Stacks
Request
Call number  Status 

QA278.2 .R38 1988  Available 
More options
Creators/Contributors
 Author/Creator
 Rawlings, John O., 1932
Contents/Summary
 Bibliography
 Bibliography: p. 535543.
 Contents

 Review of simple regression. Introduction to matrices. Multiple regression in matrix notation. Analysis of variance and quadratic forms. Case study: five independent variables. Geometric interpretation of least squares. Model development: selection of variables. Class variables in regression. Problem areas in least squares. Regression diagnostics. Transformations of variables. Colinearity. Case study: colinearity problems. Response curve modeling. Case study: response surface modeling. Analysis of unbalanced data. Case study: analysis of unbalanced data. Appendix. Tables. Answers to selected exercises. Bibliography. Index.
 (source: Nielsen Book Data)
 Publisher's Summary
 Providing an introduction to modern regression analysis, this text emphasises understanding concepts rather than computational details or mathematical proofs. The frequent discussions of computing with SAS allows emphasis on whole concepts rather than conceptual details. This text includes topics unique for a book at this level, such as a chapter on a geometric interpretation of least square analysis, coverage of reparametrization, regression diagnostics including Gabriel's biplots and the analysis of unbalanced data. The text uses matrix notation throughout and includes extensive discussions on the application of regression models to analysis of variance problems, the limitations of stepwise regression procedures and of analyzing highly colinear data. This book should be of interest to degree and diploma students taking courses in statistics.
(source: Nielsen Book Data)
Subjects
 Subject
 Regression analysis.
Bibliographic information
 Publication date
 1988
 Note
 Includes index.
 ISBN
 0534092462 : $40.00
 9780534092467