On the power superiority of likelihood ratio tests for restricted alternatives
type: Item
instance of: scholarly article
title: On the power superiority of likelihood ratio tests for restricted alternatives
zbMATH Open document ID: 0773.62038
DOI: 10.1016/0047-259X(92)90081-P
author: Mingtan Tsai
published in: Journal of Multivariate Analysis
publication date: 1993-09-01T00:00:00Z
Mathematics Subject Classification ID: 62H15
Mathematics Subject Classification ID: 62A01
Mathematics Subject Classification ID: 62F30
zbMATH DE Number: 404627
zbMATH Keywords: positive orthant alternative
zbMATH Keywords: power superiority
zbMATH Keywords: restricted alternatives
zbMATH Keywords: multivariate normal mean vector testing problem
zbMATH Keywords: power comparison
zbMATH Keywords: restricted likelihood ratio test
zbMATH Keywords: uniformly more powerful
zbMATH Keywords: entire restricted parameter space
MaRDI profile type: Publication
cites work: A TEST OF HOMOGENEITY FOR ORDERED ALTERNATIVES. II
cites work: Distribution of Likelihood Ratio in Testing Against Trend
cites work: Q3943822
cites work: On the Power Superiority of Certain Bivariate Location Tests Against Restricted Alternatives
cites work: On the Distribution of the Likelihood Ratio
cites work: Q3314753
cites work: Order restricted statistical tests on multinomial and Poisson parameters: The starshaped restriction
cites work: A Complete Class Theorem for Multidimensional One-Sided Alternatives
cites work: Q3962329
cites work: M-matrices as covariance matrices of multinormal distributions
cites work: A multivariate analogue of the one-sided test
cites work: On the Problem of Testing Location in Multivariate Populations for Restricted Alternatives
cites work: Q5588170
cites work: One-Sided Testing Problems in Multivariate Analysis
cites work: Likelihood ratio tests for order restrictions in exponential families
cites work: One-sided comparisons for treatments with a control
cites work: Q4039968
cites work: Tests of Statistical Hypotheses Concerning Several Parameters When the Number of Observations is Large
description: scientific article; zbMATH DE number 404627