We found a match
Your institution may have access to this item. Find your institution then sign in to continue.
- Title
广义逐步混合截尾下 Marshall-Olkin 扩展指数分布的可靠性分析.
- Authors
肖金安; 贺兴时; 王燕
- Abstract
In order to study the reliability index of Marshall-Olkin extended exponential distribution, based on the generalized progressively hybrid censored model, the unknown parameters of the distribution are estimated by classical estimation and Bayesian estimation methods. By numerical iteration method and asymptotic normal theory, the maximum likelihood estimates of the unknown parameters are given. Under the condition that the prior distribution is gamma distribution, the Bayesian estimator and the maximum posterior density confidence interval of unknown parameters are obtained by using Metropolis-Hastings sampling algorithm. The numerical simulation results show that the mean square error and interval length of Bayesian estimator are better than those of classical estimator.
- Subjects
GAMMA distributions; CENSORING (Statistics); PARAMETER estimation; CONFIDENCE intervals; COMPUTER simulation; ALGORITHMS
- Publication
Basic Sciences Journal of Textile Universities / Fangzhi Gaoxiao Jichu Kexue Xuebao, 2019, Vol 32, Issue 3, p317
- ISSN
1006-8341
- Publication type
Article
- DOI
10.13338/j.issn.1006-8341.2019.03.015