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dc.contributor.authorHan, Chien-Paien
dc.contributor.authorChiou, Paulen
dc.date.accessioned2010-06-09T15:31:12Zen
dc.date.available2010-06-09T15:31:12Zen
dc.date.issued1984-09en
dc.identifier.urihttp://hdl.handle.net/10106/2442en
dc.description.abstract**Please note that the full text is embargoed** ABSTRACT: Asymptotic confidence interval for the noncentrality parameter of a Gamma distribution (or Chi-squared distribution) is derived. An algorithm for computing the maximum likelihood estimator of the non-centrality parameter is developed. A formula for the asymptotic variance of the maximum likelihood estimator is given. From the properties of the maximum likelihood estimator an asymptotic confidence interval is obtained.en
dc.language.isoen_USen
dc.publisherUniversity of Texas at Arlingtonen
dc.relation.ispartofseriesTechnical Report;220en
dc.subjectAlgorithmen
dc.subjectNon-centrality parameteren
dc.subjectChi-squared distributionen
dc.subjectMaximum likelihood estimationen
dc.subjectAsymptoticen
dc.subject.lcshStatisticsen
dc.subject.lcshMathematics Researchen
dc.titleInterval Estimation of the Noncentrality Parameter of A Gamma Distributionen
dc.typeTechnical Reporten
dc.publisher.departmentDepartment of Mathematicsen


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