In this article, constant partially accelerated life tests are considered. Based on a progressive first-failure censoring scheme, the maximum likelihood and the Bayes estimates for the parameters of the Weibull-Geometric distribution as well as the acceleration parameter are obtained. The Bayes estimates are derived using the Markov Chain Monte Carlo (MCMC) technique. A Monte Carlo simulation study has been conducted to compare the different estimates.
(2018). ESTIMATION FOR THE WEIBULL-GEOMETRIC DISTRIBUTION BASED ON CONSTANT PARTIALLY ACCELERATED LIFE TESTS VIA MCMC TECHNIQUE. Assiut University Journal of Multidisciplinary Scientific Research, 47(2), 27-41. doi: 10.21608/aunj.2018.221209
MLA
. "ESTIMATION FOR THE WEIBULL-GEOMETRIC DISTRIBUTION BASED ON CONSTANT PARTIALLY ACCELERATED LIFE TESTS VIA MCMC TECHNIQUE", Assiut University Journal of Multidisciplinary Scientific Research, 47, 2, 2018, 27-41. doi: 10.21608/aunj.2018.221209
HARVARD
(2018). 'ESTIMATION FOR THE WEIBULL-GEOMETRIC DISTRIBUTION BASED ON CONSTANT PARTIALLY ACCELERATED LIFE TESTS VIA MCMC TECHNIQUE', Assiut University Journal of Multidisciplinary Scientific Research, 47(2), pp. 27-41. doi: 10.21608/aunj.2018.221209
VANCOUVER
ESTIMATION FOR THE WEIBULL-GEOMETRIC DISTRIBUTION BASED ON CONSTANT PARTIALLY ACCELERATED LIFE TESTS VIA MCMC TECHNIQUE. Assiut University Journal of Multidisciplinary Scientific Research, 2018; 47(2): 27-41. doi: 10.21608/aunj.2018.221209
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