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.
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This 1971 classic on linear models features material that can be understood by any statistician who understands matrix algebra and basic statistical methods.
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 UnbalancedData. Variance Component Estimation from Unbalanced Data: Formulae. Literature Cited. Statistical Tables. Index.
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Produktdetaljer

ISBN
9780471184997
Publisert
1997-04-08
Utgiver
Vendor
Wiley-Interscience
Vekt
771 gr
Høyde
229 mm
Bredde
152 mm
Dybde
38 mm
Aldersnivå
UP, P, 05, 06
Språk
Product language
Engelsk
Format
Product format
Heftet
Antall sider
560

Forfatter

Biographical note

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.