Comparison of Local Powers of Some Exact Tests for a Common Normal Mean with Unequal Variances

dc.contributor.authorKifle, Yehenew Getachew
dc.contributor.authorSinha, Bimal K.
dc.date.accessioned2024-04-02T19:56:34Z
dc.date.available2024-04-02T19:56:34Z
dc.date.issued2021-09-01
dc.description.abstractThe inferential problem of drawing inference about a common mean μ of several independent normal populations with unequal variances has drawn universal attention, and there are many exact tests for testing a null hypothesis H₀ : μ = μ₀ against both-sided alternatives. In this paper, we provide a review of their local power and a comparison. It turns out that, in the case of equal sample size, a uniform comparison and ordering of the exact tests based on their local power can be carried out even when the variances are unknown.
dc.description.urihttps://link.springer.com/chapter/10.1007/978-981-16-1368-5_6
dc.format.extent26 pages
dc.genrebook chapters
dc.genrepostprints
dc.identifierdoi:10.13016/m2lqv1-mu1q
dc.identifier.citationKifle, Yehenew G., and Bimal K. Sinha. “Comparison of Local Powers of Some Exact Tests for a Common Normal Mean with Unequal Variances.” In Strategic Management, Decision Theory, and Decision Science: Contributions to Policy Issues, edited by Bikas Kumar Sinha and Srijib Bhusan Bagchi, 75–85. Singapore: Springer, 2021. https://doi.org/10.1007/978-981-16-1368-5_6.
dc.identifier.urihttps://doi.org/10.1007/978-981-16-1368-5_6
dc.identifier.urihttp://hdl.handle.net/11603/32802
dc.language.isoen_US
dc.publisherSpringer
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC Faculty Collection
dc.relation.ispartofUMBC Mathematics and Statistics Department
dc.titleComparison of Local Powers of Some Exact Tests for a Common Normal Mean with Unequal Variances
dc.typeText
dcterms.creatorhttps://orcid.org/0000-0002-5583-6601

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