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REGRESSION ANALYSIS AND LINEAR MODELS

On the Expressions of Estimability in Testing General Linear Hypotheses

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Pages 782-790 | Received 13 Jul 2006, Accepted 07 Jun 2007, Published online: 13 Feb 2008
 

Abstract

In testing a general linear hypothesis of the form K β ∊ ( W ′) under a general linear model, an equivalent hypothesis involving only estimable parametric functions is provided, and then an explicit test statistic in terms of the model matrices is given. The corresponding results are expanded to the case of a general linear model with a restriction and are illustrated by an example.

Mathematics Subject Classification:

Acknowledgments

The authors are grateful to the referee and to the editor for their very helpful suggestions, which led to the improved version of this paper.

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