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Linear Models
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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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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.

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