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Efficiency in Estimation of Mean Time to Failure in a Two-Parameter Exponential Failure Model

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Efficiency in Estimation of Mean Time to Failure in a Two-Parameter Exponential Failure Model

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dc.contributor.author Dyer, Danny D. en
dc.date.accessioned 2010-06-03T13:23:29Z en
dc.date.available 2010-06-03T13:23:29Z en
dc.date.issued 1977-05 en
dc.identifier.uri http://hdl.handle.net/10106/2281 en
dc.description.abstract When comparing two point estimators of some parametric function, Pitman-closeness efficiency gives the "odds" in favor of one of the estimators being closer to the true value than is the other in a given situation. Through this measure of efficiency, we compare (i) the maximum likelihood estimator, (ii) the minimum variance unbiased estimator, (iii) the best invariant estimator, and (iv) the median unbiased estimator of the mean time to failure in a two-parameter exponential failure model. Mean squared efficiency is also discussed. en
dc.language.iso en_US en
dc.publisher University of Texas at Arlington en
dc.relation.ispartofseries Technical Report;64 en
dc.subject Pitman-closeness efficiency en
dc.subject Two-parameter exponential en
dc.subject Point estimation en
dc.subject Mean squared efficiency en
dc.subject.lcsh Mathematical statistics en
dc.subject.lcsh Mathematics Research en
dc.title Efficiency in Estimation of Mean Time to Failure in a Two-Parameter Exponential Failure Model en
dc.type Technical Report en
dc.publisher.department Department of Mathematics en

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