Development of multiple linear regression for particulate matter (PM10) forecasting during episodic transboundary haze event in Malaysia
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...
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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. |
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Other Authors: | 56509029800 |
Format: | Article |
Published: |
MDPI AG
2023
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