Modeling the stochastic dependence of air pollution index data
Date
2018
Journal Title
Journal ISSN
Volume Title
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)
Description
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.