JOURNAL ARTICLE

Asymptotic nonnull distribution of likelihood ratio statistic for testing homogeneity of complex multivariate gaussian populations

Arjun K. GuptaDaya K. Nagar

Year: 1989 Journal:   Journal of Statistical Computation and Simulation Vol: 31 (2)Pages: 83-91   Publisher: Taylor & Francis

Abstract

In this paper asymptotic expansion of the nonnull distribution of the likelihood ratio statistic for testing homogeneity of several multivariate complex Gaussian populations has been derived. Nonnull moments are derived under the assumption of equality of covariance matrices. The asymptotic nonnull distribution is derived under the sequence of local alternatives, using logarithmic expansion for gamma function and some results on zonal polynomials.

Keywords:
Mathematics Homogeneity (statistics) Likelihood-ratio test Multivariate statistics Statistics Statistic Asymptotic distribution Gaussian Covariance Test statistic Multivariate normal distribution Logarithm Likelihood function Applied mathematics Statistical hypothesis testing Maximum likelihood Mathematical analysis

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Topics

Bayesian Methods and Mixture Models
Physical Sciences →  Computer Science →  Artificial Intelligence
Statistical Distribution Estimation and Applications
Physical Sciences →  Mathematics →  Statistics and Probability
Statistical Methods and Bayesian Inference
Physical Sciences →  Mathematics →  Statistics and Probability
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