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Ul-Saufie, Ahmad Zia, Yahaya, Ahmad Shukri, Ramli, NorAzam, Hamid, Hazrul Abdul (2012) Performance of Multiple Linear Regression Model for Long-term PM10 Concentration Prediction Based on Gaseous and Meteorological Parameters. Journal of Applied Sciences, 12. 1488-1494 doi:10.3923/jas.2012.1488.1494

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Reference TypeJournal (article/letter/editorial)
TitlePerformance of Multiple Linear Regression Model for Long-term PM10 Concentration Prediction Based on Gaseous and Meteorological Parameters
JournalJournal of Applied Sciences
AuthorsUl-Saufie, Ahmad ZiaAuthor
Yahaya, Ahmad ShukriAuthor
Ramli, NorAzamAuthor
Hamid, Hazrul AbdulAuthor
Year2012 (December 1)Volume12
PublisherScience Alert
DOIdoi:10.3923/jas.2012.1488.1494Search in ResearchGate
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Mindat Ref. ID10342332Long-form Identifiermindat:1:5:10342332:8
GUID0
Full ReferenceUl-Saufie, Ahmad Zia, Yahaya, Ahmad Shukri, Ramli, NorAzam, Hamid, Hazrul Abdul (2012) Performance of Multiple Linear Regression Model for Long-term PM10 Concentration Prediction Based on Gaseous and Meteorological Parameters. Journal of Applied Sciences, 12. 1488-1494 doi:10.3923/jas.2012.1488.1494
Plain TextUl-Saufie, Ahmad Zia, Yahaya, Ahmad Shukri, Ramli, NorAzam, Hamid, Hazrul Abdul (2012) Performance of Multiple Linear Regression Model for Long-term PM10 Concentration Prediction Based on Gaseous and Meteorological Parameters. Journal of Applied Sciences, 12. 1488-1494 doi:10.3923/jas.2012.1488.1494
In(n.d.) Journal of Applied Sciences Vol. 12. Science Alert

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Ul-Saufie, Ahmad Zia, Yahaya, Ahmad Shukri, Ramli, Nor Azam, Rosaida, Norrimi, Hamid, Hazrul Abdul (2013) Future daily PM10 concentrations prediction by combining regression models and feedforward backpropagation models with principle component analysis (PCA). Atmospheric Environment, 77. 621-630 doi:10.1016/j.atmosenv.2013.05.017
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