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Linear Regression Analysis, by George A. F. Seber, Alan J. Lee
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Concise, mathematically clear, and comprehensive treatment of the subject.
* Expanded coverage of diagnostics and methods of model fitting.
* Requires no specialized knowledge beyond a good grasp of matrix algebra and some acquaintance with straight-line regression and simple analysis of variance models.
* More than 200 problems throughout the book plus outline solutions for the exercises.
* This revision has been extensively class-tested.
- Sales Rank: #327396 in Books
- Published on: 2003-02-05
- Original language: English
- Number of items: 1
- Dimensions: 9.35" h x 1.50" w x 6.46" l, 2.02 pounds
- Binding: Hardcover
- 582 pages
Review
"With excellent motivating and presenting style, this book is suitable for a beginning graduate level regression course." (Journal of Statistical Computation and Simulation, July 2005)
"...revises and expands the standard text, providing extensive coverage of state-of-the-art theory..." (Zentralblatt Math, Vol. 1029, 2004)
"...largely rewritten...very useful for self-study...an excellent choice for a course in linear models and researchers who are interested in recent literature in the fields..." (Technometrics, Vol. 45, No. 4, November 2003)
“...rewritten to reflect current thinking, such as the major advances in computing during the past 25 years.” (Quarterly of Applied Mathematics, Vol. LXI, No. 3, September 2003)
From the Back Cover
An extensive treatment of a key method in the statistician’s toolbox
For more than two decades, the First Edition of Linear Regression Analysis has been an authoritative resource for one of the most common methods of handling statistical data. There have been many advances in the field over the last twenty years, including the development of more efficient and accurate regression computer programs, new ways of fitting regressions, and new methods of model selection and prediction. Linear Regression Analysis, Second Edition, revises and expands this standard text, providing extensive coverage of state-of-the-art theory and applications of linear regression analysis.
Requiring no specialized knowledge beyond a good grasp of matrix algebra and some acquaintance with straight-line regression and simple analysis of variance models, this new edition features:
- Up-to-date accounts of computational methods and algorithms currently in use without getting entrenched in minor computing details
- A careful and detailed survey of the research literature, making this a highly useful reference
- Expanded coverage of diagnostics, and more discussion of methods of model fitting, model selection and prediction
- More than 200 problems throughout the book plus outline solutions
Concise, mathematically clear, and comprehensive, Linear Regression Analysis, Second Edition, serves as both a reliable reference for the practitioner and a valuable textbook for the student.
About the Author
George A. F. Seber, PhD, Dip. Counsel. is an Emeritus Professor in the Department of Statistics at the University of Auckland in New Zealand. A Fellow of the New Zealand Royal Society and recipient of the Hector Medal in Science by the NZ Royal Society, he is the author or coauthor of 15 statistical books and an extensive book on counselling. His research interests have included linear and nonlinear modeling, multivariate analysis, statistical ecology, genetics, epidemiology, and adaptive sampling.
Alan J. Lee, PhD, is a Professor of Statistics in the Department of Statistics at the University of Auckland.His research interests include statistical modeling, semi-parametric inference, circular statistics and social statistics. Along with Dr Nicholas Fisher, he is a principal in the consultancy Valumetrics Australia.
Most helpful customer reviews
7 of 9 people found the following review helpful.
Linear regression analysis
By 02
I'm using the book as a textbook this semester for a PhD course in Statistics. There are too many mistakes and typos in the 2nd edition of the book. The readers should be very carefull. I think the 2nd edition of the book is too sloppy. The authors should proofread the book thoroughly and correct all mistakesa and typos before it goes to print again.
11 of 11 people found the following review helpful.
Thorough, excellent treatment of this technique
By daniel parry
Seber pays meticulous attention to detail. Not only does he present a comprehensive text on regression, but his precise, straight-forward language separates this work from other books on the topic. This is a "must-have" for any serious statisticians library.
0 of 0 people found the following review helpful.
Great book showing how to draw lines through data!
By micah
Using this book for a master's level review of linear models. I think that it's a great book to use as a companion to class, but may be difficult to read through on your own. The author's notation isn't bad, it's just not as good as it could be in some parts. Aside from this, there are a few style choices that I would change, but that's just my opinion. The book is filled with examples, practice problems, and many solutions. As you read/work through the book, the authors give plenty of references to outside material to further your understanding of the material. Overall, this is a pretty good book and definitely worth the purchase if you are using it for a class.
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