Development of multiple linear regression for particulate matter (PM10) forecasting during episodic transboundary haze event in Malaysia

• Main Authors: Abdullah S., Napi N.N.L.M., Ahmed A.N., Mansor W.N.W., Mansor A.A., Ismail M., Abdullah A.M., Ramly Z.T.A.
• Other Authors: 56509029800
• Format: Article
• Published: MDPI AG 2023

Air quality; Carbon monoxide; Errors; Forecasting; Linear regression; Nitrogen oxides; Sulfur dioxide; Wind; Accuracy; Forecasting modeling; Malaysia; Multiple linear regressions; Particulate Matter; Precautionary measures; Stepwise multiple linear regression; Trans-boundary; Particles (particulate matter); accuracy assessment; error analysis; forecasting method; haze; multiple regression; particulate matter; prediction; Malaysia