Markov chain model and stationary test: A case study on Malaysia Social Security (SOCSO)

Recently, the Markov chain model, which is a model that depends on the probability of transition, has been widely used in areas related to health problems. This article aims to build the yearly transition model for the health state of workers who contribute under the Employment Injury Scheme (EIS) S...

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Bibliographic Details
Published in:Sains Malaysiana
Main Author: Samsuddin S.; Ismail N.
Format: Article
Language:English
Published: Penerbit Universiti Kebangsaan Malaysia 2019
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85064351688&doi=10.17576%2fjsm-2019-4803-24&partnerID=40&md5=d934f7ea602567b0c11d067d377f60b0
id 2-s2.0-85064351688
spelling 2-s2.0-85064351688
Samsuddin S.; Ismail N.
Markov chain model and stationary test: A case study on Malaysia Social Security (SOCSO)
2019
Sains Malaysiana
48
3
10.17576/jsm-2019-4803-24
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85064351688&doi=10.17576%2fjsm-2019-4803-24&partnerID=40&md5=d934f7ea602567b0c11d067d377f60b0
Recently, the Markov chain model, which is a model that depends on the probability of transition, has been widely used in areas related to health problems. This article aims to build the yearly transition model for the health state of workers who contribute under the Employment Injury Scheme (EIS) SOCSO in Malaysia using the Markov chain model. In addition, the stationary test is carried out to confirm whether the model can be used for the projection of transition probabilities of the contributors' health levels. © 2019 Penerbit Universiti Kebangsaan Malaysia. All rights reserved.
Penerbit Universiti Kebangsaan Malaysia
1266039
English
Article
All Open Access; Gold Open Access
author Samsuddin S.; Ismail N.
spellingShingle Samsuddin S.; Ismail N.
Markov chain model and stationary test: A case study on Malaysia Social Security (SOCSO)
author_facet Samsuddin S.; Ismail N.
author_sort Samsuddin S.; Ismail N.
title Markov chain model and stationary test: A case study on Malaysia Social Security (SOCSO)
title_short Markov chain model and stationary test: A case study on Malaysia Social Security (SOCSO)
title_full Markov chain model and stationary test: A case study on Malaysia Social Security (SOCSO)
title_fullStr Markov chain model and stationary test: A case study on Malaysia Social Security (SOCSO)
title_full_unstemmed Markov chain model and stationary test: A case study on Malaysia Social Security (SOCSO)
title_sort Markov chain model and stationary test: A case study on Malaysia Social Security (SOCSO)
publishDate 2019
container_title Sains Malaysiana
container_volume 48
container_issue 3
doi_str_mv 10.17576/jsm-2019-4803-24
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85064351688&doi=10.17576%2fjsm-2019-4803-24&partnerID=40&md5=d934f7ea602567b0c11d067d377f60b0
description Recently, the Markov chain model, which is a model that depends on the probability of transition, has been widely used in areas related to health problems. This article aims to build the yearly transition model for the health state of workers who contribute under the Employment Injury Scheme (EIS) SOCSO in Malaysia using the Markov chain model. In addition, the stationary test is carried out to confirm whether the model can be used for the projection of transition probabilities of the contributors' health levels. © 2019 Penerbit Universiti Kebangsaan Malaysia. All rights reserved.
publisher Penerbit Universiti Kebangsaan Malaysia
issn 1266039
language English
format Article
accesstype All Open Access; Gold Open Access
record_format scopus
collection Scopus
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