Modelling Malaysia air quality data using Bayesian Structural Time Series models
Air pollution poses a significant threat to human health and the environment, especially in developing nations facing rapid industrialization, urbanization, and increased vehicle emissions. As cities and factories continue to grow, the air quality problem worsens, making it crucial to enhance the mo...
Main Authors: | , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Penerbit Universiti Kebangsaan Malaysia
2024
|
Online Access: | http://journalarticle.ukm.my/24659/1/SS%2023.pdf |