Methods and Applications of Linear Models: Regression and the Analysis of Variance, 2ND. ED.

Hocking, Ronald R.

ISBN 10: 047123222X / ISBN 13: 9780471232223

Published by Wiley-Interscience, 2003

About this Item

This is a fine, as new, hardcover second edition copy, no DJ, blue pictorial binding. 741 pages with index. Photos on request.

Seller Inventory # 102227

Bibliographic Details

• Title: Methods and Applications of Linear Models: Regression and the Analysis of Variance, 2ND. ED.
• Publisher: Wiley-Interscience
• Publication Date: 2003
• Language: English
• ISBN 10: 047123222X
• ISBN 13: 9780471232223
• Binding: Hardcover
• Edition: 2nd Edition
• Condition: As New
• Dust Jacket Condition: No Jacket

About this title

Synopsis

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.