Uniformly more powerful tests for hypotheses about linear inequalities when the variance is unknown

DOI10.1090/S0002-9939-01-05824-5zbMath1047.62058OpenAlexW1506217076MaRDI QIDQ2723509

Michael P. McDermott, Yining Wang

Publication date: 5 July 2001

Published in: Proceedings of the American Mathematical Society (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1090/s0002-9939-01-05824-5

zbMATH Keywords

likelihood ratio testpolyhedral coneconditional distributionone-sided testing

Mathematics Subject Classification ID

Parametric hypothesis testing (62F03) Hypothesis testing in multivariate analysis (62H15)

Related Items (1)

Some further inequalities for univariate moments and some new ones for the covariance

Cites Work

• Bioequivalence trials, intersection-union tests and equivalence confidence sets. With comments and a rejoinder by the authors
• Construction of uniformly more powerful tests for hypotheses about linear inequalities
• Uniformly more powerful, one-sided tests for hypotheses about linear inequalities
• Testing Whether an Identified Treatment Is Best
• A MULTIVARIATE TEST WITH COMPOSITE HYPOTHESES DETERMINED BY LINEAR INEQUALITIES WHEN THE COVARIANCE MATRIX HAS AN UNKNOWN SCALE FACTOR
• A test of a multivariate normal mean with composite hypotheses determined by linear inequalities
• Uniformly More Powerful Tests for Hypotheses Concerning Linear Inequalities and Normal Means
• A Characterization of the Gamma Distribution

This page was built for publication: Uniformly more powerful tests for hypotheses about linear inequalities when the variance is unknown