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

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	Please note that the full text is embargoed 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