Nonnull distribution of likelihood ratio criterion for reality of covariance matrix
In this paper the distribution of the likelihood ratio test for testing the reality of the covariance matrix of a complex multivariate normal distribution is investigated. Some simplifications in the noncentral distribution are made and the noncentral distribution is derived for the special case where the rank of the noncentrality matrix is two. In the null case exact expressions for the distribution are given up to p = 6, and percentage points are tabulated. These percentage points were compared with percentage points derived from an asymptotic expansion of the distribution, and the accuracy of the approximation was found to be sufficient for several practical situations.
Year of publication: |
1976
|
---|---|
Authors: | Carter, E. M. ; Khatri, C. G. ; Srivastava, M. S. |
Published in: |
Journal of Multivariate Analysis. - Elsevier, ISSN 0047-259X. - Vol. 6.1976, 1, p. 176-184
|
Publisher: |
Elsevier |
Keywords: | Complex Wishart distribution Beta densities Likelihood ratio statistic Asymptotic |
Saved in:
Saved in favorites
Similar items by person
-
On monotonicity of the modified likelihood ratio test for the equality of two covariances
Srivastava, M. S., (1978)
-
Carter, E. M., (1977)
-
Asymptotic nonnull distributions for tests for reality of a covariance matrix
Carter, E. M., (1978)
- More ...