LBI tests for multivariate normality in exponential power distributions
In the class of multivariate exponential power distributions, we derive LBI (locally best invariant) tests for normality in the two cases: (i) mean vector [mu] is known and (ii) [mu] is unknown. In the case (i), the null and nonnull asymptotic distributions of the test statistic are derived. In the case (ii) the asymptotic properties of the LBI test remain open because of a technical difficulty. However, the null distribution of a modified test is derived. A Monte Carlo study on the percentage points of the tests is made.
Year of publication: |
1991
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Authors: | Kuwana, Yoichi ; Kariya, Takeaki |
Published in: |
Journal of Multivariate Analysis. - Elsevier, ISSN 0047-259X. - Vol. 39.1991, 1, p. 117-134
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Publisher: |
Elsevier |
Keywords: | locally best invariant test test for normality multivariate exponential power distribution |
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