ESTIMATION FOR THE WEIBULL-GEOMETRIC DISTRIBUTION BASED ON CONSTANT PARTIALLY ACCELERATED LIFE TESTS VIA MCMC TECHNIQUE | ||||
Assiut University Journal of Multidisciplinary Scientific Research | ||||
Volume 47, Issue 2, December 2018, Page 27-41 PDF (483.15 K) | ||||
Document Type: Novel Research Articles | ||||
DOI: 10.21608/aunj.2018.221209 | ||||
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Abstract | ||||
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. | ||||
Keywords | ||||
Weibull-Geometric distribution; progressive first-failure censoring scheme; partially accelerated life test; Markov Chain Monte Carlo technique; Metropolis-Hastings | ||||
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