Methods and Applications of Linear Models: Regression and the Analysis of Variance 2nd Edition
Author(s): Ronald R. Hocking (Author)
Publisher: Wiley–Blackwell
Publication Date: 15 April 2003
Edition: 2nd
Language: English
Print length: 776 pages
ISBN-10: 047123222X
ISBN-13: 9780471232223
Book Description
The Second Edition has been rearranged and reorganized, as well as fully updated and expanded to cover new developments. It includes material on the AVE method and explains existing information in an even more user friendly form, and includes additional exercises. It describes a general approach to the analysis of unbalanced mixed models, and uses data based approach to development and analysis. An Instructor’s Manual presenting detailed solutions to all the problems in the book is available upon request from the Wiley editorial department.
Editorial Reviews
Review
“…presents a thorough treatment of the concepts and methods of linear model analysis and illustrates them with numerical and conceptual examples…” (Quarterly of Applied Mathematics, Vol. LXII, No. 1, March 2004) “…an essential desktop reference book…it should definitely be on your bookshelf.” (Technometrics, Vol. 45, No. 4, November 2003)
From the Back Cover
A popular statistical text now updated and better than ever!
The ready availability of high-speed computers and statistical software encourages the analysis of ever larger and more complex problems while at the same time increasing the likelihood of improper usage. That is why it is increasingly important to educate end users in the correct interpretation of the methodologies involved. Now in its second edition, Methods and Applications of Linear Models: Regression and the Analysis of Variance seeks to more effectively address the analysis of such models through several important changes. Notable in this new edition:
Fully updated and expanded text reflects the most recent developments in the AVE method
Rearranged and reorganized discussions of application and theory enhance text?s effectiveness as a teaching tool
More than 100 new exercises in the areas of regression and analysis of variance
As in the First Edition, the author presents a thorough treatment of the concepts and methods of linear model analysis, and illustrates them with various numerical and conceptual examples, using a data-based approach to development and analysis. Data sets, available on an FTP site, allow readers to apply analytical methods discussed in the book.
About the Author
RONALD R. HOCKING, PhD, is Professor Emeritus in the Department of Statistics at Texas A&M University. He is also co-owner of PenHock Statistical Consultants in Ishpeming, Michigan.
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