Correlation Dimension as a Proxy for the Number of Parameters Required to Model Risk of Groundwater Arsenic Contamination: An Assessment Using Ordinary Logistic Regression

Faisal Hossain, Jason Hill & Faisal Hossain
The Correlation Dimension (CD) of an attractor provides information on the number of variables present in its non-linear deterministic variability. In this study we demonstrate a physical connection between the CD and the mathematical modeling of risk of arsenic contamination in groundwater using Ordinary Logistic Regression (OLR). Our database comprised the nation-wide arsenic survey completed in 1999 by the British Geological Survey (BGS) in collaboration with the Department of Public Health Engineering (DPHE) in Bangladesh,...
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