Studying Effect Of Subsamples On Estimated Power Of Moses'S Test Used To Test Variances

dc.contributor.advisorMagel, Rhonda
dc.contributor.authorAlenezi, Awatef
dc.date.accessioned2023-10-17T07:03:23Z
dc.date.available2023-10-17T07:03:23Z
dc.date.issued2023-04-13
dc.description.abstractThis study compared two tests to test for difference in estimated powers for two underlying distributions (normal and exponential): Moses and F-test. Moses test can vary depending on the subsamples chosen, while F-test is not suitable for exponential distributions. Powers are estimated for sample sizes of 18 with subsamples of sizes 3 and 6. Powers are estimated for sample sizes of 36 with subsamples of sizes 3, 6, and 9 and for sample sizes of 64 with subsamples of sizes 4, 8, and 16. Powers were estimated where just the variances were different and then where both means and variances were different. Unequal sample sizes were also considered. The study recommends that subsample sizes for normal and exponential distributions vary with sample size when using the Moses test. Power estimates were higher when subsample sizes were 1/3 to 1/4 of the original sample size, but results were inconsistent with exponential distributions.
dc.format.extent71
dc.identifier.urihttps://hdl.handle.net/20.500.14154/69424
dc.language.isoen_US
dc.publisherNDSU
dc.subjectMoses test
dc.subjectF test
dc.subjectVariances
dc.titleStudying Effect Of Subsamples On Estimated Power Of Moses'S Test Used To Test Variances
dc.typeThesis
sdl.degree.departmentApplied Statistics
sdl.degree.disciplineTwo tests to test for difference in estimated powers for two underlying distributions (normal and exponential): Moses and F-test
sdl.degree.grantorNorth Dakota State University
sdl.degree.nameMaster of Science

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