Quantifying Haze Effect using Air Pollution Index Data
Quantifying Haze Effect using Air Pollution Index Data is a scholarly work, published in 2023 in ''Sains Malaysiana''. The main subjects of the publication include chemistry, environmental economics, air pollution, haze, pollution, Air Pollution Index, environmental science, environmental monitoring, manicule, meteorology, and impact of the COVID-19 pandemic on the environment. It is found that ARIMAX (4,0,1) with non-zero mean is the best model in describingthe API data with presence of haze as external regressor based on the smallest adequacy anderror measures for training and test datasets.