Discriminant Analysis of Water Quality Data in Langat River View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2014

AUTHORS

Zalina Mohd Ali , Noor Akma Ibrahim , Kerrie Mengersen , Mahendran Shitan , Hafizan Juahir

ABSTRACT

River monitoring processes usually generate large databases of water quality variables. These water quality variables are important to identify the status of the river. Due to multidimensionality of complex characteristics in river water, meaningful information from a large database can be extracted by using multivariate statistical methods, i.e., discriminant analysis (DA). Appropriate univariate transformation and data screening for multivariate outlier’s detection were considered. The DA approach used in this study gave better information on river water quality, especially concerning the contribution of the variables in discriminating between the three spatial areas in Langat River. More... »

PAGES

597-601

References to SciGraph publications

Book

TITLE

From Sources to Solution

ISBN

978-981-4560-69-6
978-981-4560-70-2

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-981-4560-70-2_106

DOI

http://dx.doi.org/10.1007/978-981-4560-70-2_106

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1019401968


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