Locally optimal tests for no contamination in standard symmetric multivariate normal mixtures

DOI10.1016/0378-3758(92)90129-GzbMath0850.62437MaRDI QIDQ1193950

Ashis Sen Gupta, Chandranath Pal

Publication date: 27 September 1992

Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)

Mathematics Subject Classification ID

Multivariate distribution of statistics (62H10) Hypothesis testing in multivariate analysis (62H15) Asymptotic properties of parametric tests (62F05)

Related Items

LBI tests for the detection of compound normal distribution in control and treatment populations ⋮ Testing homogeneity of control and treatment populations -- local optimality and related issues ⋮ Some observations in testing for nonstandard mixtures ⋮ Efficient models for correlated data via convolutions of intrinsic processes ⋮ A review of optimality of multivariate tests ⋮ Locally Maximin Test for the Mixture Proportion with Type-I Censoring ⋮ Optimal tests for no contamination in symmetric multivariate normal mixtures

Cites Work

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• Optimal tests for the correlation coefficient in a symmetric multivariate normal population
• Defining the curvature of a statistical problem (with applications to second order efficiency)
• On Tests for Equicorrelation Coefficient of a Standard Symmetric Multivariate Normal Distribution
• Locally Optimal Tests for Multiparameter Hypotheses
• Asymptotic Properties of Maximum Likelihood Estimators and Likelihood Ratio Tests Under Nonstandard Conditions
• Most Powerful Tests for Some Non-Exponential Families