%0 Journal Article
%T STATISTICAL MODELING OF THE GROUNDWATER ARSENIC CONTAMINATION LEVEL IN BANGLADESH DUE TO CHEMICAL ELEMENTS
%A Syed Md. Fakrul AHSAN
%A Md. Nazrul ISLAM
%A Md. Jamal UDDIN
%A Mohammed Taj UDDIN
%J Journal of Applied Quantitative Methods
%D 2008
%I Association for Development through Science and Education
%X This paper is devoted to modeling of the magnitude of arsenic with 54 variables of chemical elements based on secondary data. The samples are collected from 113 wells from different areas of Bangladesh. The study shows that 9 variables are significantly related with arsenic variable. Analysis also claims that arsenic variable can be modeled with three principal components (linear combination of independent variables). The study also considered latitude and longitude variables but there is no spatial autocorrelation between them.
%K regression model
%K principal component
%K spatial autocorrelation
%K arsenic contamination
%K chemical elements
%U http://www.jaqm.ro/issues/volume-3,issue-3/pdfs/ahsan_islam_uddin_uddin.pdf