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Similar tests for covariance structures in multivariate linear models

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Author Info
Forchini, G.

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Abstract

Nyblom (J. Multivariate Anal. 76 (2001) 294) has derived locally best invariant test for the covariance structure in a multivariate linear model. The class of invariant tests obtained by Nyblom [9] does not coincide with the class of similar tests for this testing set-up. This paper extends some of the results of Nyblom [9] by deriving the locally best similar tests for the covariance structure. Moreover, it develops a saddlepoint approximation to optimal weighted average power similar tests (i.e. tests which maximize a weighted average power).

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Publisher Info
Article provided by Elsevier in its journal Journal of Multivariate Analysis.

Volume (Year): 93 (2005)
Issue (Month): 2 (April)
Pages: 223-237
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Handle: RePEc:eee:jmvana:v:93:y:2005:i:2:p:223-237

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Related research
Keywords: Multivariate linear model Similar tests Invariant tests Covariance matrix Locally best tests Weighted average power tests;

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