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
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id	my-usm-ep.60874
record_format	uketd_dc
spelling	my-usm-ep.608742024-07-30T06:09:26Z Multivariate Statistical Modeling On Industrial Dust Emissions From Quarries 2012-08 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 http://eprints.usm.my/60874/ http://eprints.usm.my/60874/1/Pages%20from%20Izhar.pdf application/pdf en public phd doctoral Universiti Sains Malaysia Pusat Pengajian Kejuruteraan Bahan & Sumber Mineral (School of Material & Mineral Resource Engineering)
institution	Universiti Sains Malaysia
collection	USM Institutional Repository
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
qualification_name	Doctor of Philosophy (PhD.)
qualification_level	Doctorate
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
granting_institution	Universiti Sains Malaysia
granting_department	Pusat Pengajian Kejuruteraan Bahan & Sumber Mineral (School of Material & Mineral Resource Engineering)
publishDate	2012
url	http://eprints.usm.my/60874/1/Pages%20from%20Izhar.pdf
_version_	1811772853849161728

Multivariate Statistical Modeling On Industrial Dust Emissions From Quarries

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