Details

Linear Models


Linear Models


Wiley Series in Probability and Statistics - Applied Probability and Statistics Section 1. Aufl.

von: Shayle R. Searle

138,99 €

Verlag: Wiley
Format: PDF
Veröffentl.: 24.08.2012
ISBN/EAN: 9781118491775
Sprache: englisch
Anzahl Seiten: 560

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Beschreibungen

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.
Generalized Inverse Matrices.<br> <br> Distributions and Quadratic Forms.<br> <br> Regression, or the Full Rank Model.<br> <br> Introducing Linear Models: Regression on Dummy Variables.<br> <br> Models Not of Full Rank.<br> <br> Two Elementary Models.<br> <br> The 2-Way Crossed Classification.<br> <br> Some Other Analyses.<br> <br> Introduction to Variance Components.<br> <br> Methods of Estimating Variance Components from UnbalancedData.<br> <br> Variance Component Estimation from Unbalanced Data: Formulae.<br> <br> Literature Cited.<br> <br> Statistical Tables.<br> <br> Index.
<p><strong>Shayle R. Searle</strong>, PhD, is Professor Emeritus in the Department of Biological Statistics and Computational Biology at Cornell University. Dr. Searle is the author of <em>Linear Models</em>, <em>Linear Models for Unbalanced Data</em>, <em>Matrix Algebra Useful for Statistics</em>, and <em>Variance Components</em>, all published by Wiley.

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