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Similar tests for covariance structures in multivariate linear models

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  • Forchini, G.

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).

Suggested Citation

  • Forchini, G., 2005. "Similar tests for covariance structures in multivariate linear models," Journal of Multivariate Analysis, Elsevier, vol. 93(2), pages 223-237, April.
  • Handle: RePEc:eee:jmvana:v:93:y:2005:i:2:p:223-237
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    References listed on IDEAS

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    1. Nyblom, Jukka, 2001. "Invariant Tests for Covariance Structures in Multivariate Linear Model," Journal of Multivariate Analysis, Elsevier, vol. 76(2), pages 294-315, February.
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