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...
Main Author: | Rais, Izhar Abadi Ibrahim |
---|---|
Format: | Thesis |
Language: | English |
Published: |
2012
|
Subjects: | |
Online Access: | http://eprints.usm.my/60874/1/Pages%20from%20Izhar.pdf |
Similar Items
-
Effect Of Mechanical Activation On The Fluxing Properties Of Gua Musang Feldspar And Granite Quarry Dust
by: Nordala, Phoumiphon
Published: (2013) -
The Curing Characteristics And Mechanical Properties Of Waste Tyre Dust And Waste Tyre Dust Hybrid Filled Natural Rubber Compounds
by: Omar, Nurul Farhana
Published: (2012) -
Preparation, Characterization And Properties Of Polypropylene/Waste Tyre Dust/Kenaf Powder Composites
by: Pang, Ai Ling
Published: (2013) -
Reductive Leaching Of Low Grade Manganese Ore Using Bamboo Saw Dust
by: Ismail, Suhaina
Published: (2014) -
Improvement of facilities layout planning related with safety: a case study at quarry
by: Tajurahim, Nurul Ainina Nadhirah, et al.
Published: (2022)