A note on testing two-dimensional normal mean
From MaRDI portal
Publication:1112509
DOI10.1007/BF02491485zbMath0659.62064MaRDI QIDQ1112509
Kentaro Nomakuchi, Toshio Sakata
Publication date: 1987
Published in: Annals of the Institute of Statistical Mathematics (Search for Journal in Brave)
likelihood ratio testSchur-concave functionsmean vectorcomposite hypothesisunbiased testone-sided alternativestwo-dimensional normal distributionsufficient condition for admissibility
Hypothesis testing in multivariate analysis (62H15) Admissibility in statistical decision theory (62C15)
Related Items (10)
The generalized inference on the sign testing problem about the normal variances ⋮ Tests of a normal mean vector with hypotheses determined by linear inequalities ⋮ The emperor's new tests. (With comments and a rejoinder). ⋮ Admissibility of unbiased tests for a composite hypothesis with a restricted alternative ⋮ Tests of ordered hypotheses for gamma scale parameters ⋮ Tests of ordered hypotheses for gamma scale parameters ⋮ More powerful tests for the sign testing problem about gamma scale parameters ⋮ An appraisal of some aspects of statistical inference under inequality constraints ⋮ A defense of the likelihood ratio test for one-sided and order-restricted alternatives ⋮ Construction of uniformly more powerful tests for hypotheses about linear inequalities
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Majorization in multivariate distributions
- Hypothesis Testing for Marginal Probabilities in a 2 × 2 × 2 Contingency Table With Conditional Independence
- A Likelihood Ratio Test Regarding Two Nested but Oblique Order-Restricted Hypotheses
- Testing Hypotheses Concerning Unions of Linear Subspaces
- A test of a multivariate normal mean with composite hypotheses determined by linear inequalities
- Multiparameter Hypothesis Testing and Acceptance Sampling
- Towards a Theory of Generalized Bayes Tests
- Testing Multiparameter Hypotheses
This page was built for publication: A note on testing two-dimensional normal mean
