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dc.contributor.authorAaberge, Rolf
dc.date.accessioned2012-01-25T21:58:55Z
dc.date.available2012-01-25T21:58:55Z
dc.date.issued1998
dc.identifier.issn1892-753x
dc.identifier.urihttp://hdl.handle.net/11250/180059
dc.description.abstractApplications of the standard theory of UMP unbiased tests depends on conditions which in general are difficult to verify. In the present paper, however, we suggest more simple rules for applying this theory for regular exponential families of distributions. This approach leads to UMP unbiased tests for various multiparameter testing problems with restricted alternatives, and is shown to give justification for conditional tests of various test problems for contingency tables. The derived tests are shown to possess attractive small sample properties. Keywords: Exponential families of distributions, UMP unbiased tests, exact conditional tests, contingencyno_NO
dc.language.isoengno_NO
dc.publisherStatistics Norway, Research Departmentno_NO
dc.relation.ispartofseriesDiscussion Papers;No. 212
dc.subjectUnbiased testsno_NO
dc.subjectHardy-Weinberg equilibriumno_NO
dc.subjectBehrens-Fisher problemno_NO
dc.subjectSmall sample testno_NO
dc.subjectStatistical methodsno_NO
dc.titleUMP unbiased tests for multiparameter testing problems with restricted alternativesno_NO
dc.typeWorking paperno_NO
dc.subject.nsiVDP::Mathematics and natural science: 400::Mathematics: 410::Statistics: 412no_NO
dc.source.pagenumber16 s.no_NO


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