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Competing risk models in reliability systems, an exponential distribution model with Bayesian analysis approach

The exponential distribution is the most widely used reliability analysis. This distribution is very suitable for representing the lengths of life of many cases and is available in a simple statistical form. The characteristic of this distribution is a constant hazard rate. The exponential distribut...

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Main Author: Ismed, Iskandar
Format: Conference or Workshop Item
Language:English
Published: IOP Publishing 2018
Subjects:
TS Manufactures
Online Access:http://umpir.ump.edu.my/id/eprint/23769/1/Competing%20risk%20models%20in%20reliability%20systems%2C%20an%20exponential%20distribution%20model%20with%20Bayesian%20analysis%20approach.pdf
http://umpir.ump.edu.my/id/eprint/23769/
https://iopscience.iop.org/article/10.1088/1757-899X/319/1/012069/pdf
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spelling my.ump.umpir.237692019-05-17T03:25:22Z http://umpir.ump.edu.my/id/eprint/23769/ Competing risk models in reliability systems, an exponential distribution model with Bayesian analysis approach Ismed, Iskandar TS Manufactures The exponential distribution is the most widely used reliability analysis. This distribution is very suitable for representing the lengths of life of many cases and is available in a simple statistical form. The characteristic of this distribution is a constant hazard rate. The exponential distribution is the lower rank of the Weibull distributions. In this paper our effort is to introduce the basic notions that constitute an exponential competing risks model in reliability analysis using Bayesian analysis approach and presenting their analytic methods. The cases are limited to the models with independent causes of failure. A non-informative prior distribution is used in our analysis. This model describes the likelihood function and follows with the description of the posterior function and the estimations of the point, interval, hazard function, and reliability. The net probability of failure if only one specific risk is present, crude probability of failure due to a specific risk in the presence of other causes, and partial crude probabilities are also included. IOP Publishing 2018-03 Conference or Workshop Item PeerReviewed pdf en cc_by http://umpir.ump.edu.my/id/eprint/23769/1/Competing%20risk%20models%20in%20reliability%20systems%2C%20an%20exponential%20distribution%20model%20with%20Bayesian%20analysis%20approach.pdf Ismed, Iskandar (2018) Competing risk models in reliability systems, an exponential distribution model with Bayesian analysis approach. In: 4th Asia Pacific Conference on Manufacturing Systems and the 3rd International Manufacturing Engineering Conference, APCOMS-iMEC 2017, 7-8 December 2017 , Yogyakarta, Indonesia. pp. 1-6., 319 (1). ISSN 1757-8981 (Print); 1757-899X (Online) https://iopscience.iop.org/article/10.1088/1757-899X/319/1/012069/pdf
institution Universiti Malaysia Pahang Al-Sultan Abdullah
building UMPSA Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang Al-Sultan Abdullah
content_source UMPSA Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
topic TS Manufactures
spellingShingle TS Manufactures
Ismed, Iskandar
Competing risk models in reliability systems, an exponential distribution model with Bayesian analysis approach
description The exponential distribution is the most widely used reliability analysis. This distribution is very suitable for representing the lengths of life of many cases and is available in a simple statistical form. The characteristic of this distribution is a constant hazard rate. The exponential distribution is the lower rank of the Weibull distributions. In this paper our effort is to introduce the basic notions that constitute an exponential competing risks model in reliability analysis using Bayesian analysis approach and presenting their analytic methods. The cases are limited to the models with independent causes of failure. A non-informative prior distribution is used in our analysis. This model describes the likelihood function and follows with the description of the posterior function and the estimations of the point, interval, hazard function, and reliability. The net probability of failure if only one specific risk is present, crude probability of failure due to a specific risk in the presence of other causes, and partial crude probabilities are also included.
format Conference or Workshop Item
author Ismed, Iskandar
author_facet Ismed, Iskandar
author_sort Ismed, Iskandar
title Competing risk models in reliability systems, an exponential distribution model with Bayesian analysis approach
title_short Competing risk models in reliability systems, an exponential distribution model with Bayesian analysis approach
title_full Competing risk models in reliability systems, an exponential distribution model with Bayesian analysis approach
title_fullStr Competing risk models in reliability systems, an exponential distribution model with Bayesian analysis approach
title_full_unstemmed Competing risk models in reliability systems, an exponential distribution model with Bayesian analysis approach
title_sort competing risk models in reliability systems, an exponential distribution model with bayesian analysis approach
publisher IOP Publishing
publishDate 2018
url http://umpir.ump.edu.my/id/eprint/23769/1/Competing%20risk%20models%20in%20reliability%20systems%2C%20an%20exponential%20distribution%20model%20with%20Bayesian%20analysis%20approach.pdf
http://umpir.ump.edu.my/id/eprint/23769/
https://iopscience.iop.org/article/10.1088/1757-899X/319/1/012069/pdf
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score 13.244404

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