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, Pages 27-41 PDF (483.15 K) | ||
| Document Type: Novel Research Articles | ||
| DOI: 10.21608/aunj.2018.221209 | ||
| 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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