
Linear Models
$251.99
- Hardcover
696 pages
- Release Date
20 October 2016
Summary
Linear Models: A Comprehensive Guide to Data Analysis
Provides an easy-to-understand guide to statistical linear models and its uses in data analysis. This book defines a broad spectrum of statistical linear models that is useful in the analysis of data. Considerable rewriting was done to make the book more reader-friendly than the first edition. Linear Models, Second Edition is written in such a way as to be self-contained for a person with a background in basic statistics…
Book Details
ISBN-13: | 9781118952832 |
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ISBN-10: | 1118952839 |
Series: | Wiley Series in Probability and Statistics |
Author: | Shayle R. Searle, Marvin H.J. Gruber |
Publisher: | John Wiley & Sons Inc |
Imprint: | John Wiley & Sons Inc |
Format: | Hardcover |
Number of Pages: | 696 |
Edition: | 2nd |
Release Date: | 20 October 2016 |
Weight: | 1.04kg |
Dimensions: | 236mm x 160mm x 38mm |
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About The Author
Shayle R. Searle
SHAYLE R. SEARLE, PhD, (deceased) was Professor Emeritus of Biometry at Cornell University. He was the author of Linear Models, Linear Models for Unbalanced Data, and Generalized, Linear, and Mixed Models (with Charles E. McCulloch). The first edition of Linear Models appears in the Wiley Classics Library.
MARVIN H. J. GRUBER, PhD, is Professor Emeritus at Rochester Institute of Technology, School of Mathematical Sciences. Dr. Gruber has written a number of papers and has given numerous presentations at professional meetings during his tenure as a professor at RIT. His fields of interest include regression estimators and the improvement of their efficiency using shrinkage estimators. He has written and published two books on this topic. Another of his books, Matrix Algebra for Linear Models, provides good preparation for studying Linear Models. He is a member of the American Mathematical Society, the Institute of Mathematical Statistics and the American Statistical Association.
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