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dc.contributor.authorDyer, Danny D.en
dc.date.accessioned2010-06-04T13:41:16Zen
dc.date.available2010-06-04T13:41:16Zen
dc.date.issued1978-03en
dc.identifier.urihttp://hdl.handle.net/10106/2360en
dc.description.abstract**Please note that the full text is embargoed** ABSTRACT: For the purpose of making a pairwise comparison of point estimators of normal percentiles, a twofold technique is introduced which basically examines ,(a) the "odds" in favor of an estimator being closer to the true value than is a competing estimator and (b) an estimator's average closeness to the true value when it is closer (as well as when it is not) than is a competing estimator. Closeness to the true value is measured through an absolute error loss function. Joint consideration of these concepts is shown to form a basis for determining which of two estimators is preferred in a given situation.en
dc.language.isoen_USen
dc.publisherUniversity of Texas at Arlingtonen
dc.relation.ispartofseriesTechnical Report;76en
dc.subjectEstimatorsen
dc.subjectAbsolute error loss functionen
dc.subjectPitman-closeness efficiencyen
dc.subjectConditional mean absolute erroren
dc.subject.lcshStatisticsen
dc.subject.lcshMathematics Researchen
dc.titleA Further Look at the Comparison of Normal Percentile Estimatorsen
dc.typeTechnical Reporten
dc.publisher.departmentDepartment of Mathematicsen


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