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The Effects of Nonnormality of Tests for Dimensionality in Canonical Correlation and MANOVA Models

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  • Seo, T.
  • Kanda, T.
  • Fujikoshi, Y.

Abstract

In this paper we consider the usual test statistics for dimensionality in canonical correlation and MANOVA models for nonnormal populations. In order to know the effects of the null distributions of the test statistics when the populations depart from normality, perturbation expansions for test statistics are derived. The asymptotic expansions of the expectations of the test statistics are given under the class of elliptical populations. Further, modified test statistics with a better chi-squared approximation are proposed. Finally, numerical results by Monte Carlo simulations are presented.

Suggested Citation

  • Seo, T. & Kanda, T. & Fujikoshi, Y., 1995. "The Effects of Nonnormality of Tests for Dimensionality in Canonical Correlation and MANOVA Models," Journal of Multivariate Analysis, Elsevier, vol. 52(2), pages 325-337, February.
    • Handle: RePEc:eee:jmvana:v:52:y:1995:i:2:p:325-337
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    Cited by:

    1. Nkiet, Guy Martial, 2005. "On estimation of the dimensionality in linear canonical analysis," Statistics & Probability Letters, Elsevier, vol. 75(2), pages 103-112, November.
    2. Boik, Robert J., 1998. "A Local Parameterization of Orthogonal and Semi-Orthogonal Matrices with Applications," Journal of Multivariate Analysis, Elsevier, vol. 67(2), pages 244-276, November.
    3. Calinski, Tadeusz & Lejeune, Michel, 1998. "Dimensionality in Manova Tested by a Closed Testing Procedure," Journal of Multivariate Analysis, Elsevier, vol. 65(2), pages 181-194, May.
    4. Šárka Hudecová & Miroslav Šiman, 2021. "Testing symmetry around a subspace," Statistical Papers, Springer, vol. 62(5), pages 2491-2508, October.

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