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George A. F. Seber - Linear Regression Analysis - 9780471415404 - V9780471415404
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Linear Regression Analysis

€ 194.37
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Description for Linear Regression Analysis Hardcover. 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 work covers the diagnostics and methods of model fitting. Series: Wiley Series in Probability and Statistics. Num Pages: 582 pages, tables, references, index. BIC Classification: PBT; UNC. Category: (P) Professional & Vocational. Dimension: 243 x 164 x 32. Weight in Grams: 940.
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.

Product Details

Format
Hardback
Publication date
2003
Publisher
John Wiley and Sons Ltd United States
Number of pages
582
Condition
New
Series
Wiley Series in Probability and Statistics
Number of Pages
592
Place of Publication
New York, United States
ISBN
9780471415404
SKU
V9780471415404
Shipping Time
Usually ships in 4 to 8 working days
Ref
99-1

About George A. F. Seber
GEORGE A. F. SEBER, PhD, is Professor Emeritus of Statistics at the University of Auckland, New Zealand. ALAN J. LEE, PhD, is the Chairman of the Department of Statistics at the University of Auckland.

Reviews for Linear Regression Analysis
"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 ... Read more

Goodreads reviews for Linear Regression Analysis


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