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dc.contributor.author | Dyer, Danny D. | en |
dc.date.accessioned | 2010-06-04T13:41:16Z | en |
dc.date.available | 2010-06-04T13:41:16Z | en |
dc.date.issued | 1978-03 | en |
dc.identifier.uri | http://hdl.handle.net/10106/2360 | en |
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.iso | en_US | en |
dc.publisher | University of Texas at Arlington | en |
dc.relation.ispartofseries | Technical Report;76 | en |
dc.subject | Estimators | en |
dc.subject | Absolute error loss function | en |
dc.subject | Pitman-closeness efficiency | en |
dc.subject | Conditional mean absolute error | en |
dc.subject.lcsh | Statistics | en |
dc.subject.lcsh | Mathematics Research | en |
dc.title | A Further Look at the Comparison of Normal Percentile Estimators | en |
dc.type | Technical Report | en |
dc.publisher.department | Department of Mathematics | en |
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