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Linear modelsleast squares and alter...

Rao, C. Radhakrishna1920-

Linear modelsleast squares and alternatives /

紀錄類型:	書目-電子資源 : 單行本
正題名/作者:	Linear models/ C. Radhakrishna Rao, Helge Toutenburg.
其他題名:	least squares and alternatives /
作者:	Rao, C. Radhakrishna
其他作者:	Toutenburg, Helge.
出版者:	New York :Springer,�999.
面頁冊數:	1 online resource (xv, 427 pages) :illustrations.
標題:	Linear models (Statistics) -
電子資源:	Click here for online access to this book (查閱全文) (EBSCO eBook)
ISBN:	0387227520 (electronic bk.)
ISBN:	9780387227528 (electronic bk.)
ISBN:	9781489900241 (electronic bk.)
ISBN:	1489900241 (electronic bk.)

Linear modelsleast squares and alternatives /
Rao, C. Radhakrishna1920-

Linear modelsleast squares and alternatives /[electronic resource] :C. Radhakrishna Rao, Helge Toutenburg. - 2nd ed. - New York :Springer,�999. - 1 online resource (xv, 427 pages) :illustrations. - Springer series in statistics. - Springer series in statistics..

Includes bibliographical references (p. [403]-419) and index.

Cover -- Preface to the First Edition -- Preface to the Second Edition -- Table of Contents -- 1. Introduction -- 2. Linear Models -- 3. The Linear Regression Model -- 4. The Generalized Linear Regression Model -- 5. Exact and Stochastic Linear Restrictions -- 6. Prediction Problems in the Generalized Regression Model -- 7. Sensitivity Analysis -- 8. Analysis of Incomplete Data Sets -- 9. Robust Regression -- 10. Models for Categorical Response Variables -- Appendix A -- Matrix Algebra -- Appendix B -- Tables -- Appendix C -- Software for Linear Regression Models -- References.

This book provides an up-to-date account of the theory and applications of linear models. It can be used as a text for courses in statistics at the graduate level as well as an accompanying text for other courses in which linear models play a part. The authors present a unified theory of inference from linear models with minimal assumptions, not only through least squares theory, but also using alternative methods of estimation and testing based on convex loss functions and general estimating equations. Some of the highlights include: - a special emphasis on sensitivity analysis and model selection; - a chapter devoted to the analysis of categorical data based on logit, loglinear, and logistic regression models; - a chapter devoted to incomplete data sets; - an extensive appendix on matrix theory, useful to researchers in econometrics, engineering, and optimization theory; - a chapter devoted to the analysis of categorical data based on a unified presentation of generalized linear models including GEE- methods for correlated response; - a chapter devoted to incomplete data sets including regression diagnostics to identify Non-MCAR-processes The material covered will be invaluable not only to graduate students, but also to research workers and consultants in statistics. Helge Toutenburg is Professor for Statistics at the University of Muenchen. He has written about 15 books on linear models, statistical methods in quality engineering, and the analysis of designed experiments. His main interest is in the application of statistics to the fields of medicine and engineering.

ISBN: 0387227520 (electronic bk.)

Standard No.: 10.1007/978-1-4899-0024-1doiSubjects--Topical Terms:

148693
Linear models (Statistics)
Index Terms--Genre/Form:

172687
Electronic books.

LC Class. No.: QA279 / .R3615 1999eb

Dewey Class. No.: 519.5/35

Linear modelsleast squares and alternatives /
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