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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Main Authors: Shamshimah Samsuddin, Noriszura Ismail
Format: Article
Language:English
Published: Penerbit Universiti Kebangsaan Malaysia 2019
Online Access:http://journalarticle.ukm.my/13330/
http://journalarticle.ukm.my/13330/
http://journalarticle.ukm.my/13330/1/24%20Shamshimah%20Samsuddin.pdf
id ukm-13330
recordtype eprints
spelling ukm-133302019-08-29T21:46:37Z http://journalarticle.ukm.my/13330/ Markov chain model and stationary test: a case study on Malaysia Social Security (SOCSO) Shamshimah Samsuddin, Noriszura Ismail, 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. Penerbit Universiti Kebangsaan Malaysia 2019-03 Article PeerReviewed application/pdf en http://journalarticle.ukm.my/13330/1/24%20Shamshimah%20Samsuddin.pdf Shamshimah Samsuddin, and Noriszura Ismail, (2019) Markov chain model and stationary test: a case study on Malaysia Social Security (SOCSO). Sains Malaysiana, 48 (3). pp. 697-701. ISSN 0126-6039 http://www.ukm.my/jsm/malay_journals/jilid48bil3_2019/KandunganJilid48Bil3_2019.html
repository_type Digital Repository
institution_category Local University
institution Universiti Kebangasaan Malaysia
building UKM Institutional Repository
collection Online Access
language English
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.
format Article
author Shamshimah Samsuddin,
Noriszura Ismail,
spellingShingle Shamshimah Samsuddin,
Noriszura Ismail,
Markov chain model and stationary test: a case study on Malaysia Social Security (SOCSO)
author_facet Shamshimah Samsuddin,
Noriszura Ismail,
author_sort Shamshimah Samsuddin,
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)
publisher Penerbit Universiti Kebangsaan Malaysia
publishDate 2019
url http://journalarticle.ukm.my/13330/
http://journalarticle.ukm.my/13330/
http://journalarticle.ukm.my/13330/1/24%20Shamshimah%20Samsuddin.pdf
first_indexed 2023-09-18T20:04:37Z
last_indexed 2023-09-18T20:04:37Z
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