Linear Models, 9781118952832
Hardcover
Unlock data insights: Master statistical linear models with ease.

$251.99

  • Hardcover

    696 pages

  • Release Date

    20 October 2016

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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
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
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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