Volume 30, Issue 2 (IJIEPR 2019)
IJIEPR 2019, 30(2): 133-147 |
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1- School of Mathematics, Iran University of Science and Technology, Tehran, Iran
2- School of Mathematics, Iran University of Science and Technology, Tehran, Iran ,yari@iust.ac.ir
2- School of Mathematics, Iran University of Science and Technology, Tehran, Iran ,
Abstract: (3941 Views)
In this paper, a new distribution that is highly applicable in the fields of reliability and economics is introduced. Also the parameters of this distribution is estimated using two methods of Maximum Likelihood and Bayes with two prior distributions Weibull and Uniform, and these two methods are compared using Monte-Carlo simulation. Finally, this new model is fit on the real data(with the failure time of 84 aircraft) and some of comparative criteria are calculated to confirm superiority of the proposed model compared to other models.
Keywords: Failure time, Exponential distribution, Singh-Maddala distribution, Estimation parameters, Monte-Carlo simulation, Fitting the model.
Type of Study: Research |
Subject:
Material Managment
Received: 2018/10/20 | Accepted: 2019/04/28 | Published: 2019/06/22
Received: 2018/10/20 | Accepted: 2019/04/28 | Published: 2019/06/22
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