Comparison of Powers of some Tests for Testing Homogeneity Under Order Restrictions in Multivariate Normal Means

DOI10.1080/01966324.1998.10737457zbMath0919.62055OpenAlexW2033217896WikidataQ58128739 ScholiaQ58128739MaRDI QIDQ4240883

Hiroyuki Saito, Syoichi Sasabuchi, D. D. Sarath Kulatunga

Publication date: 5 September 1999

Published in: American Journal of Mathematical and Management Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/01966324.1998.10737457

zbMATH Keywords

likelihood ratio testMonte Carlo simulationmultivariate normal distributionorder restrictionmultivariate isotonic regressionpower comparison

Mathematics Subject Classification ID

Hypothesis testing in multivariate analysis (62H15) Parametric inference under constraints (62F30) Statistical tables (62Q05)

Related Items (7)

On the conditional test of order restricted multivariate normal mean vectors: simulation study and application ⋮ Bootstrap approach to test the homogeneity of order restricted mean vectors when the covariance matrices are unknown ⋮ Testing homogeneity of multivariate normal mean vectors under an order restriction when the covariance matrices are common but unknown ⋮ On the computation of some properties of testing homogeneity of multivariate normal mean vectors against an order restriction ⋮ Parametric and permutation testing for multivariate monotonic alternatives ⋮ On the computation and some applications of multivariate isotonic regression ⋮ Upper Bound forp-Value of the Test of Multivariate Normal Ordered Mean Vectors Against all Alternatives

Cites Work

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• Bounds on mixtures of distributions arising in order restricted inference
• A TEST OF HOMOGENEITY OF MEAN VECTORS AGAINST MULTIVARIATE ISOTONIC ALTERNATIVES
• CONVOLUTIONS OF THE PROBABILITIES P(l, k) USED IN ORDER RESTRICTED INFERENCE
• A Fortran subroutine for computing normal orthant probabilities of dimensions up to nine
• A test for a multiple isotonic regression problem
• On approximation of the level probabilities and associated distributions in order restricted inference
• A multivariate version of isotonic regression
• Most Stringent Somewhere Most Powerful Tests Against Alternatives Restricted by a Number of Linear Inequalities
• Efficient Utilization of Non-Numerical Information in Quantitative Analysis General Theory and the Case of Simple Order

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