Methods and Applications of Linear Models: Regression and the Analysis of Variance (Wiley Series in Probability and Statistics. Applied Probability and Statistics) (Paperback)

by Ronald R. Hocking (Author), R. R. Hocking (Author) "The objective of this chapter is to present a discussion and a formal definition of a general class of linear models..." (more)
Key Phrases: Variable Param, P-Value Intercept, Label Matrix Expected Value (more...)

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Solutions Manual available. -- The publisher, John Wiley & Sons

Product Description
A novel approach to linear model analysis

Methods and Applications of Linear Models provides a clear and concise summary of the concepts and methodologies of linear models and illustrates the analysis with numerous exercises and real-world examples. Special features include:

• Data sets available on an ftp site
• Graphical illustrations of many of the analyses
• A data-based approach to development and analysis
• Graphical and numerical diagnostic methods in regression
• Use of the cell means model for the analysis of variance
• The introduction of the AVE method for variance component estimation
• A general approach to the analysis of unbalanced mixed models

This novel approach to linear model analysis offers a unified treatment of linear regression and the analysis of variance. The focus is on the appropriate interpretation of results. Carefully chosen examples illustrate the analyses and some of the common sources of confusion in the application of the methods. The treatment of mixed models includes material that has not previously appeared in the literature.

For upper-level undergraduate and graduate students of regression and the analysis of variance, this volume provides simple explanations of the basic methodologies. It is also a valuable professional reference for applied statisticians and researchers. Ronald R. Hocking is Professor Emeritus in the Department of Statistics at Texas A&M University. He received his PhD in mathematics and statistics and is a Fellow of the American Statistical Association.

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Product Details

• Paperback: 731 pages
• Publisher: John Wiley & Sons (June 1996)
• Language: English
• ISBN-10: 047159282X
• ISBN-13: 978-0471592822
• Product Dimensions: 9.6 x 6.4 x 1.7 inches
• Shipping Weight: 2.7 pounds
• Average Customer Review: 3.0 out of 5 stars See all reviews (2 customer reviews)
• Amazon.com Sales Rank: #1,410,935 in Books (See Bestsellers in Books)

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2.0 out of 5 stars Look for another text, May 11, 2009

By	David M. Burk "The Cheuk" (Columbus, OH) - See all my reviews (REAL NAME)

This review is from: Methods and Applications of Linear Models: Regression and the Analysis of Variance (Wiley Series in Probability and Statistics) (Hardcover)

My cohort in an 2-year MS Stat program almost universally hated this text (of us all, I was probably the one least opposed to it). Hocking skipped too many steps for us ("It is easy to see ..."). He often takes a geometric approach, but presents it at a level that was incomprehensible to any of us (including our professor). I don't doubt Hocking knows what he was talking about, or even that some other readers might, but it was beyond all of us, many of whom as undergrads majored in math or statistics, for what that's worth.

For theory of the linear model, consider Rencher and Schaalje's Theory of the Linear Model, which is extremely thorough and clear, has solutions to all exercises, great for self-study It doesn't cover all the material that Hocking does, though.

4.0 out of 5 stars Contents are good but the printing is bad..., October 18, 2007

By	H. Choi "Henry" (College Station, TX) - See all my reviews (REAL NAME)

This review is from: Methods and Applications of Linear Models: Regression and the Analysis of Variance (Wiley Series in Probability and Statistics) (Hardcover)

I bought this book for a class. It is pretty good and well organized and clearly explained. But the printing is bad... especially figures, I can figure out what they mean though.