Type-1 Beta Distribution and its Connections to Likelihood Ratio Test

In many cases involving hypothesis testing for parameters in multivariate Gaussian populations and certain other populations, likelihood ratio criteria, or their one-to-one functions, can be expressed in terms of the determinant of a real type-1 beta matrix. In geometrical probability problems, when...

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Main Authors: Nicy Sebastian, T. Princy
Format: Article
Language:English
Published: University of Bologna 2024-12-01
Series:Statistica
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Online Access:https://rivista-statistica.unibo.it/article/view/16837
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author Nicy Sebastian
T. Princy
author_facet Nicy Sebastian
T. Princy
author_sort Nicy Sebastian
collection DOAJ
description In many cases involving hypothesis testing for parameters in multivariate Gaussian populations and certain other populations, likelihood ratio criteria, or their one-to-one functions, can be expressed in terms of the determinant of a real type-1 beta matrix. In geometrical probability problems, when the random points are type-1 beta distributed, the volume content of the parallellotope generated by these points is also associated with the determinant of a real type-1 beta matrix. These problems in the corresponding complex domain do not seem to have been discussed in the literature. It is well-known that the determinant of a real type-1 beta matrix can be written as a product of statistically independently distributed real scalar type-1 beta random variables. This paper addresses the general h-th moments of a scalar random variable, in either the real or complex domain, for any arbitrary h. The structure of these moments is quite general, and the paper provides exact distribution results, asymptotic gamma function results, and asymptotic normal results for both the real and complex domains.
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spelling doaj-art-01a0281b209942c4b19bdd8245364cdd2025-01-09T08:39:06ZengUniversity of BolognaStatistica0390-590X1973-22012024-12-0183215316410.6092/issn.1973-2201/1683715195Type-1 Beta Distribution and its Connections to Likelihood Ratio TestNicy Sebastian0T. Princy1St Thomas College Thrissur, Calicut University, Kerala, IndiaCochin University of Science and Technology, Kerala, IndiaIn many cases involving hypothesis testing for parameters in multivariate Gaussian populations and certain other populations, likelihood ratio criteria, or their one-to-one functions, can be expressed in terms of the determinant of a real type-1 beta matrix. In geometrical probability problems, when the random points are type-1 beta distributed, the volume content of the parallellotope generated by these points is also associated with the determinant of a real type-1 beta matrix. These problems in the corresponding complex domain do not seem to have been discussed in the literature. It is well-known that the determinant of a real type-1 beta matrix can be written as a product of statistically independently distributed real scalar type-1 beta random variables. This paper addresses the general h-th moments of a scalar random variable, in either the real or complex domain, for any arbitrary h. The structure of these moments is quite general, and the paper provides exact distribution results, asymptotic gamma function results, and asymptotic normal results for both the real and complex domains.https://rivista-statistica.unibo.it/article/view/16837likelihood ratio criteriatype-1 beta matrixgeneral structuresreal and complex casesasymptotic chi-squareasymptotic normalexact distribution
spellingShingle Nicy Sebastian
T. Princy
Type-1 Beta Distribution and its Connections to Likelihood Ratio Test
Statistica
likelihood ratio criteria
type-1 beta matrix
general structures
real and complex cases
asymptotic chi-square
asymptotic normal
exact distribution
title Type-1 Beta Distribution and its Connections to Likelihood Ratio Test
title_full Type-1 Beta Distribution and its Connections to Likelihood Ratio Test
title_fullStr Type-1 Beta Distribution and its Connections to Likelihood Ratio Test
title_full_unstemmed Type-1 Beta Distribution and its Connections to Likelihood Ratio Test
title_short Type-1 Beta Distribution and its Connections to Likelihood Ratio Test
title_sort type 1 beta distribution and its connections to likelihood ratio test
topic likelihood ratio criteria
type-1 beta matrix
general structures
real and complex cases
asymptotic chi-square
asymptotic normal
exact distribution
url https://rivista-statistica.unibo.it/article/view/16837
work_keys_str_mv AT nicysebastian type1betadistributionanditsconnectionstolikelihoodratiotest
AT tprincy type1betadistributionanditsconnectionstolikelihoodratiotest