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Linear Models Shayle R. Searle

Linear Models By Shayle R. Searle

Linear Models by Shayle R. Searle

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Summary

This 1971 classic on linear models features material that can be understood by any statistician who understands matrix algebra and basic statistical methods.

Linear Models Summary

Linear Models by Shayle R. Searle

This 1971 classic on linear models is once again available--as a Wiley Classics Library Edition. It features material that can be understood by any statistician who understands matrix algebra and basic statistical methods.

About Shayle R. Searle

Shayle R. Searle, PhD, is Professor Emeritus in the Department of Biological Statistics and Computational Biology at Cornell University. Dr. Searle is the author of Linear Models, Linear Models for Unbalanced Data, Matrix Algebra Useful for Statistics, and Variance Components, all published by Wiley.

Table of Contents

Generalized Inverse Matrices.; Distributions and Quadratic Forms.; Regression, or the Full Rank Model.; Introducing Linear Models: Regression on Dummy Variables.; Models Not of Full Rank.; Two Elementary Models.; The 2--Way Crossed Classification.; Some Other Analyses.; Introduction to Variance Components.; Methods of Estimating Variance Components from Unbalanced Data.; Variance Component Estimation from Unbalanced Data: Formulae.; Literature Cited.; Statistical Tables.; Index.

Additional information

NLS9780471184997
9780471184997
0471184993
Linear Models by Shayle R. Searle
Shayle R. Searle
Wiley Classics Library
New
Paperback
John Wiley & Sons Inc
1997-04-08
560
N/A
Book picture is for illustrative purposes only, actual binding, cover or edition may vary.
This is a new book - be the first to read this copy. With untouched pages and a perfect binding, your brand new copy is ready to be opened for the first time

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