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

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

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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
Main Authors: Ismail, N. (Author), Samsuddin, S. (Author)
Format: Article
Language:English
Published: Penerbit Universiti Kebangsaan Malaysia 2019
Subjects:
health status
injury
Malaysia
Markov chain
numerical model
probability
social security
Stationary
Transition probabilities
Online Access:View Fulltext in Publisher
View in Scopus
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650 0 4 |a injury 
650 0 4 |a Malaysia 
650 0 4 |a Markov chain 
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650 0 4 |a probability 
650 0 4 |a social security 
650 0 4 |a Stationary 
650 0 4 |a Transition probabilities 
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520 3 |a 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. 
700 1 0 |a Ismail, N.  |e author  
700 1 0 |a Samsuddin, S.  |e author  
773 |t Sains Malaysiana  |x 01266039 (ISSN)  |g 48 3, 697-701 

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