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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Penerbit Universiti Kebangsaan Malaysia
2019
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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 |
_version_ |
1809677904182771712 |