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  4. Journal of Physical Sciences Vol.19 [2014]
Please use this identifier to cite or link to this item: http://inet.vidyasagar.ac.in:8080/jspui/handle/123456789/924
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dc.contributor.authorShi, Yimin
dc.contributor.authorLiu, Fen
dc.date.accessioned2016-12-22T17:40:23Z-
dc.date.available2016-12-22T17:40:23Z-
dc.date.issued2014-12-26
dc.identifier.issn2350-0352
dc.identifier.urihttp://inet.vidyasagar.ac.in:8080/jspui/handle/123456789/924-
dc.description.abstractThe cold standby system is widely used to improve system reliability. Supposing that the lifetime of each unit follows gamma distribution, this article deals with the reliability assessment for cold standby system under Type-II progressive censoring with binomial removals. Maximum likelihood and Bayesian estimations for the scale parameter, probability of removal and reliability indices of system are derived. Besides, we demonstrate the effects of removal probability on the estimators and some numerical results by Monte Carlo simulation for illustrative purposesen_US
dc.language.isoen_USen_US
dc.publisherVidyasagar University , Midnapore , West-Bengal , Indiaen_US
dc.relation.ispartofseriesJournal of Physical Science;19
dc.subjectCold standby systemen_US
dc.subjectType-II progressive censoringen_US
dc.subjectBinomial removalsen_US
dc.subjectGamma distributionen_US
dc.subjectMaximum-likelihood estimatoren_US
dc.subjectBayesian estimatoren_US
dc.titleReliability Assessment for Cold Standby System Under Progressively Type-II Censoring with Binomial Removalsen_US
dc.typeArticleen_US
Appears in Collections:Journal of Physical Sciences Vol.19 [2014]

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