Comparison of Local Powers of Some Exact Tests for a Common Normal Mean with Unequal Variances
dc.contributor.author | Kifle, Yehenew Getachew | |
dc.contributor.author | Sinha, Bimal K. | |
dc.date.accessioned | 2024-04-02T19:56:34Z | |
dc.date.available | 2024-04-02T19:56:34Z | |
dc.date.issued | 2021-09-01 | |
dc.description.abstract | The 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.uri | https://link.springer.com/chapter/10.1007/978-981-16-1368-5_6 | |
dc.format.extent | 26 pages | |
dc.genre | book chapters | |
dc.genre | postprints | |
dc.identifier | doi:10.13016/m2lqv1-mu1q | |
dc.identifier.citation | Kifle, 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.uri | https://doi.org/10.1007/978-981-16-1368-5_6 | |
dc.identifier.uri | http://hdl.handle.net/11603/32802 | |
dc.language.iso | en_US | |
dc.publisher | Springer | |
dc.relation.isAvailableAt | The University of Maryland, Baltimore County (UMBC) | |
dc.relation.ispartof | UMBC Faculty Collection | |
dc.relation.ispartof | UMBC Mathematics and Statistics Department | |
dc.title | Comparison of Local Powers of Some Exact Tests for a Common Normal Mean with Unequal Variances | |
dc.type | Text | |
dcterms.creator | https://orcid.org/0000-0002-5583-6601 |
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