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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| Format: | Thesis |
| Language: | English |
| Published: |
2012
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| Online Access: | http://eprints.usm.my/60874/ http://eprints.usm.my/60874/1/Pages%20from%20Izhar.pdf |
| _version_ | 1848884560245293056 |
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| author | Rais, Izhar Abadi Ibrahim |
| author_facet | Rais, Izhar Abadi Ibrahim |
| author_sort | Rais, Izhar Abadi Ibrahim |
| building | USM Institutional Repository |
| collection | Online Access |
| 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). |
| first_indexed | 2025-11-15T19:08:39Z |
| format | Thesis |
| id | usm-60874 |
| institution | Universiti Sains Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T19:08:39Z |
| publishDate | 2012 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | usm-608742024-07-30T06:09:26Z 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. |
| spellingShingle | TN1-997 Mining engineering. Metallurgy Rais, Izhar Abadi Ibrahim Multivariate Statistical Modeling On Industrial Dust Emissions From Quarries |
| title | 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_short | Multivariate Statistical Modeling On Industrial Dust Emissions From Quarries |
| title_sort | multivariate statistical modeling on industrial dust emissions from quarries |
| topic | TN1-997 Mining engineering. Metallurgy |
| url | http://eprints.usm.my/60874/ http://eprints.usm.my/60874/1/Pages%20from%20Izhar.pdf |