Modeling the stochastic dependence of air pollution index data

Yousif Alyousifi; Nurulkamal Masseran; Kamarulzaman Ibrahim

Modeling the stochastic dependence of air pollution index data

Date

2018

Authors

Yousif Alyousifi

Nurulkamal Masseran

Kamarulzaman Ibrahim

Publisher

Springer

Abstract

The 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)

Keywords

Air pollution, Markov chains, Stochastic dependence, Limiting distribution

Citation

Alyousifi, Y., Masseran, N., & Ibrahim, K. (2018). Modeling the stochastic dependence of air pollution index data. Stochastic environmental research and risk assessment, 32, 1603-1611.