Competing Risk Models in Reliability Systems, A Gamma Distribution Model with Bayesian Analysis Approach

Competing Risk Models in Reliability Systems, A Gamma Distribution Model with Bayesian Analysis Approach

In this paper our effort is to introduce the basic notions that constitute a competing risks models in reliability analysis using Bayesian analysis approach with Gamma distribution as our model and presenting their analytic methods. The Gamma distribution is widely used in reliability analysis and i...

Full description

Bibliographic Details
Main Author: Ismed, Iskandar
Format: Conference or Workshop Item
Language:English
English
Published: IOP Publishing 2016
Subjects:
TS Manufactures
Online Access:http://umpir.ump.edu.my/id/eprint/11563/
http://umpir.ump.edu.my/id/eprint/11563/
http://umpir.ump.edu.my/id/eprint/11563/1/Competing%20Risk%20Models%20in%20Reliability%20Systems%2C%20A%20Gamma%20Distribution%20Model%20with%20Bayesian%20Analysis%20Approach.pdf
http://umpir.ump.edu.my/id/eprint/11563/7/fkp-ismed%20iskandar-competing%20risk%20models%20in%20reliability%20systems.pdf
id ump-11563
recordtype eprints
spelling ump-115632016-09-27T07:51:52Z http://umpir.ump.edu.my/id/eprint/11563/ Competing Risk Models in Reliability Systems, A Gamma Distribution Model with Bayesian Analysis Approach Ismed, Iskandar TS Manufactures In this paper our effort is to introduce the basic notions that constitute a competing risks models in reliability analysis using Bayesian analysis approach with Gamma distribution as our model and presenting their analytic methods. The Gamma distribution is widely used in reliability analysis and it is known as an natural extension of the exponential distribution. The cases are limited to the models with independent causes of failure, only the scale parameter is a random variable, and uniform 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 2016 Conference or Workshop Item PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/11563/1/Competing%20Risk%20Models%20in%20Reliability%20Systems%2C%20A%20Gamma%20Distribution%20Model%20with%20Bayesian%20Analysis%20Approach.pdf application/pdf en http://umpir.ump.edu.my/id/eprint/11563/7/fkp-ismed%20iskandar-competing%20risk%20models%20in%20reliability%20systems.pdf Ismed, Iskandar (2016) Competing Risk Models in Reliability Systems, A Gamma Distribution Model with Bayesian Analysis Approach. In: IOP Conference Series: Materials Science and Engineering: 2nd International Manufacturing Engineering Conference and 3rd Asia-Pacific Conference on Manufacturing Systems (iMEC-APCOMS 2015), 12–14 November 2015 , Kuala Lumpur, Malaysia. pp. 1-7., 114 (012098). http://dx.doi.org/0.1088/1757-899X/114/1/012098
repository_type Digital Repository
institution_category Local University
institution Universiti Malaysia Pahang
building UMP Institutional Repository
collection Online Access
language English
English
topic TS Manufactures
spellingShingle TS Manufactures
Ismed, Iskandar
Competing Risk Models in Reliability Systems, A Gamma Distribution Model with Bayesian Analysis Approach
description In this paper our effort is to introduce the basic notions that constitute a competing risks models in reliability analysis using Bayesian analysis approach with Gamma distribution as our model and presenting their analytic methods. The Gamma distribution is widely used in reliability analysis and it is known as an natural extension of the exponential distribution. The cases are limited to the models with independent causes of failure, only the scale parameter is a random variable, and uniform 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, A Gamma Distribution Model with Bayesian Analysis Approach
title_short Competing Risk Models in Reliability Systems, A Gamma Distribution Model with Bayesian Analysis Approach
title_full Competing Risk Models in Reliability Systems, A Gamma Distribution Model with Bayesian Analysis Approach
title_fullStr Competing Risk Models in Reliability Systems, A Gamma Distribution Model with Bayesian Analysis Approach
title_full_unstemmed Competing Risk Models in Reliability Systems, A Gamma Distribution Model with Bayesian Analysis Approach
title_sort competing risk models in reliability systems, a gamma distribution model with bayesian analysis approach
publisher IOP Publishing
publishDate 2016
url http://umpir.ump.edu.my/id/eprint/11563/
http://umpir.ump.edu.my/id/eprint/11563/
http://umpir.ump.edu.my/id/eprint/11563/1/Competing%20Risk%20Models%20in%20Reliability%20Systems%2C%20A%20Gamma%20Distribution%20Model%20with%20Bayesian%20Analysis%20Approach.pdf
http://umpir.ump.edu.my/id/eprint/11563/7/fkp-ismed%20iskandar-competing%20risk%20models%20in%20reliability%20systems.pdf
first_indexed 2023-09-18T22:12:27Z
last_indexed 2023-09-18T22:12:27Z
_version_ 1777415117889077248

Similar Items