Reliability Assessment for Cold Standby System Under Progressively Type-II Censoring with Binomial Removals

Please use this identifier to cite or link to this item: http://inet.vidyasagar.ac.in:8080/jspui/handle/123456789/924

Title:	Reliability Assessment for Cold Standby System Under Progressively Type-II Censoring with Binomial Removals
Authors:	Shi, Yimin Liu, Fen
Keywords:	Cold standby system Type-II progressive censoring Binomial removals Gamma distribution Maximum-likelihood estimator Bayesian estimator
Issue Date:	26-Dec-2014
Publisher:	Vidyasagar University , Midnapore , West-Bengal , India
Series/Report no.:	Journal of Physical Science;19
Abstract:	The 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 purposes
URI:	http://inet.vidyasagar.ac.in:8080/jspui/handle/123456789/924
ISSN:	2350-0352
Appears in Collections:	Journal of Physical Sciences Vol.19 [2014]

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