Non-null distributions of the likelihood ratio criteria for independence and equality of mean vectors and covariance matrices
type: Item
instance of: scholarly article
title: Non-null distributions of the likelihood ratio criteria for independence and equality of mean vectors and covariance matrices
zbMATH Open document ID: 0312.62044
DOI: 10.1007/BF02479738
author: Hisao Nagao
published in: Annals of the Institute of Statistical Mathematics
publication date: 1972-01-01T00:00:00Z
Mathematics Subject Classification ID: 62H10
Mathematics Subject Classification ID: 62H15
Mathematics Subject Classification ID: 62E20
Mathematics Subject Classification ID: 41A60
zbMATH DE Number: 3488451
MaRDI profile type: Publication
cites work: Q3255781
cites work: A GENERAL DISTRIBUTION THEORY FOR A CLASS OF LIKELIHOOD CRITERIA
cites work: Some Non-Central Distribution Problems in Multivariate Analysis
cites work: On the Exact Distributions of Likelihood Ratio Criteria for Testing Independence of Sets of Variates Under the Null Hypothesis
cites work: Q5610137
cites work: Q5636152
cites work: On the Completely Unbiassed Character of Tests of Independence in Multivariate Normal Systems
cites work: Asymptotic Expansions of the Distributions of the Likelihood Ratio Criteria for Covariance Matrix
cites work: Asymptotic Expansions of the Non-Null Distributions of the Likelihood Ratio Criteria for Multivariate Linear Hypothesis and Independence
cites work: Q5785678
cites work: On the Independence of k Sets of Normally Distributed Statistical Variables
description: scientific article; zbMATH DE number 3488451