Modeling the stochastic dependence of air pollution index data

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dc.contributor.authorYousif Alyousifi
dc.contributor.authorNurulkamal Masseran
dc.contributor.authorKamarulzaman Ibrahim
dc.coverage.publicationMalaysia
dc.date.accessioned2024-05-10T03:25:45Z
dc.date.available2024-05-10T03:25:45Z
dc.date.issued2018
dc.description.abstractThe air pollution index (API) is a common tool, which is often used for determining the quality of air in the environment. In this study, a discrete-time Markov chain model is applied for describing the stochastic behaviour of API data. The study reported in this paper is conducted based on the data collected from Klang city in Malaysia for a period of 3 years (2012-2014)
dc.identifier.citationAlyousifi, Y., Masseran, N., & Ibrahim, K. (2018). Modeling the stochastic dependence of air pollution index data. Stochastic environmental research and risk assessment, 32, 1603-1611.
dc.identifier.urihttps://repoemc.ukm.my/handle/123456789/608
dc.languageen
dc.publisherSpringer
dc.publisher.alternativeStochastic Environmental Research and Risk Assessment
dc.subjectAir pollution
dc.subjectMarkov chains
dc.subjectStochastic dependence
dc.subjectLimiting distribution
dc.titleModeling the stochastic dependence of air pollution index data
dc.typeJournal

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