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

Shamshimah Samsuddin, Noriszura Ismail

Research output: Contribution to journalArticle

Abstract

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.

Original languageEnglish
Pages (from-to)697-701
Number of pages5
JournalSains Malaysiana
Volume48
Issue number3
DOIs
Publication statusPublished - 1 Mar 2019

Fingerprint

Social security
Markov chain model
Malaysia
Health
Health state
Transition probability
Workers

Keywords

  • Markov chain
  • Stationary
  • Transition probabilities

ASJC Scopus subject areas

  • General

Cite this

Markov chain model and stationary test : A case study on Malaysia Social Security (SOCSO). / Samsuddin, Shamshimah; Ismail, Noriszura.

In: Sains Malaysiana, Vol. 48, No. 3, 01.03.2019, p. 697-701.

Research output: Contribution to journalArticle

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