کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
482168 | 1446206 | 2007 | 8 صفحه PDF | دانلود رایگان |
![عکس صفحه اول مقاله: On a proper way to select population failure distribution and a stochastic optimization method in parameter estimation On a proper way to select population failure distribution and a stochastic optimization method in parameter estimation](/preview/png/482168.png)
It is widely accepted that the Weibull distribution plays an important role in reliability applications. The reliability of a product or a system is the probability that the product or the system will still function for a specified time period when operating under some confined conditions. Parameter estimation for the three parameter Weibull distribution has been studied by many researchers in the past. Maximum likelihood has traditionally been the main method of estimation for Weibull parameters along with other recently proposed hybrids of optimization methods. In this paper, we use a stochastic optimization method called the Markov Chain Monte Carlo (MCMC) to carry out the estimation. The method is extremely flexible and inference for any quantity of interest is easily obtained.
Journal: European Journal of Operational Research - Volume 177, Issue 1, 16 February 2007, Pages 604–611