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dc.contributor.authorGoudie, I.B.J.
dc.date.accessioned2016-02-24T00:11:54Z
dc.date.available2016-02-24T00:11:54Z
dc.date.issued2015-05
dc.identifier.citationGoudie , I B J 2015 , ' Bayesian sequential tests of the initial size of a linear pure death process ' , Statistics and Probability Letters , vol. 100 , pp. 176-181 . https://doi.org/10.1016/j.spl.2015.02.017en
dc.identifier.issn0167-7152
dc.identifier.otherPURE: 176501206
dc.identifier.otherPURE UUID: 47f57cd3-ca2a-42ca-8cbc-64cdf117796b
dc.identifier.otherScopus: 84924241756
dc.identifier.otherWOS: 000353002800024
dc.identifier.otherORCID: /0000-0002-3910-7310/work/64697418
dc.identifier.urihttps://hdl.handle.net/10023/8286
dc.description.abstractWe provide a recursive algorithm for determining the sampling plans of invariant Bayesian sequential tests of the initial size of a linear pure death process of unknown rate. These tests compare favourably with the corresponding truncated sequential probability ratio tests.
dc.format.extent6
dc.language.isoeng
dc.relation.ispartofStatistics and Probability Lettersen
dc.rights© 2015 Elsevier B.V. All rights reserved. This is the author’s version of a work that was accepted for publication in Statistics & Probability Letters. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Statistics and Probability Letters, 100, May 2015 DOI 10.1016/j.spl.2015.02.017en
dc.subjectCensored samplingen
dc.subjectExponential order statisticsen
dc.subjectInvarianceen
dc.subjectJelinski–Moranda modelen
dc.subjectTruncated sequential probability ratio testen
dc.subjectHA Statisticsen
dc.subjectQA Mathematicsen
dc.subjectNDASen
dc.subject.lccHAen
dc.subject.lccQAen
dc.titleBayesian sequential tests of the initial size of a linear pure death processen
dc.typeJournal articleen
dc.description.versionPostprinten
dc.contributor.institutionUniversity of St Andrews. Statisticsen
dc.identifier.doihttps://doi.org/10.1016/j.spl.2015.02.017
dc.description.statusPeer revieweden
dc.date.embargoedUntil2016-02-24


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