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Multivariate Statistical Modeling On Industrial Dust Emissions From Quarries

In this research, multivariate statistical techniques such as principal component analysis (PCA), reliability analysis (RA) and multivariate regression analysis (MRA) were applied for the development of new quarry dust model. These statistical techniques were employed to evaluate the variations and...

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Main Author: Rais, Izhar Abadi Ibrahim
Format: Thesis
Language:English
Published: 2012
Subjects:
TN1-997 Mining engineering. Metallurgy
Online Access:http://eprints.usm.my/60874/1/Pages%20from%20Izhar.pdf
http://eprints.usm.my/60874/
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spelling my.usm.eprints.60874 http://eprints.usm.my/60874/ Multivariate Statistical Modeling On Industrial Dust Emissions From Quarries Rais, Izhar Abadi Ibrahim TN1-997 Mining engineering. Metallurgy In this research, multivariate statistical techniques such as principal component analysis (PCA), reliability analysis (RA) and multivariate regression analysis (MRA) were applied for the development of new quarry dust model. These statistical techniques were employed to evaluate the variations and interpretation of large complex air quality data set of dust deposition surrounding quarry area, generated during 10 years (2000-2010) monitoring of 15 variables at 18 different quarry sites in Malaysia (5,610 observations). 2012-08 Thesis NonPeerReviewed application/pdf en http://eprints.usm.my/60874/1/Pages%20from%20Izhar.pdf Rais, Izhar Abadi Ibrahim (2012) Multivariate Statistical Modeling On Industrial Dust Emissions From Quarries. PhD thesis, Universiti Sains Malaysia.
institution Universiti Sains Malaysia
building Hamzah Sendut Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Sains Malaysia
content_source USM Institutional Repository
url_provider http://eprints.usm.my/
language English
topic TN1-997 Mining engineering. Metallurgy
spellingShingle TN1-997 Mining engineering. Metallurgy
Rais, Izhar Abadi Ibrahim
Multivariate Statistical Modeling On Industrial Dust Emissions From Quarries
description In this research, multivariate statistical techniques such as principal component analysis (PCA), reliability analysis (RA) and multivariate regression analysis (MRA) were applied for the development of new quarry dust model. These statistical techniques were employed to evaluate the variations and interpretation of large complex air quality data set of dust deposition surrounding quarry area, generated during 10 years (2000-2010) monitoring of 15 variables at 18 different quarry sites in Malaysia (5,610 observations).
format Thesis
author Rais, Izhar Abadi Ibrahim
author_facet Rais, Izhar Abadi Ibrahim
author_sort Rais, Izhar Abadi Ibrahim
title Multivariate Statistical Modeling On Industrial Dust Emissions From Quarries
title_short Multivariate Statistical Modeling On Industrial Dust Emissions From Quarries
title_full Multivariate Statistical Modeling On Industrial Dust Emissions From Quarries
title_fullStr Multivariate Statistical Modeling On Industrial Dust Emissions From Quarries
title_full_unstemmed Multivariate Statistical Modeling On Industrial Dust Emissions From Quarries
title_sort multivariate statistical modeling on industrial dust emissions from quarries
publishDate 2012
url http://eprints.usm.my/60874/1/Pages%20from%20Izhar.pdf
http://eprints.usm.my/60874/
_version_ 1806443597315178496
score 13.188404

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