Is correlation dimension a reliable proxy for the number of dominant influencing variables for modeling risk of arsenic contamination in groundwater?

DOI10.1007/s00477-006-0098-6OpenAlexW2042044317MaRDI QIDQ841888

Bellie Sivakumar, Faisal Hossain, Jason L. Hill

Publication date: 18 September 2009

Published in: Stochastic Environmental Research and Risk Assessment (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00477-006-0098-6

zbMATH Keywords

logistic regressiongroundwatercorrelation dimensionarsenic contaminationBangladeshnonlinear deterministic dynamics and chaos

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items

Statistical moments of Gaussian kernel correlation sum and weighted least square estimator of correlation dimension and noise level

Uses Software

• ArcGIS
• ArcGIS Desktop

Cites Work

• Measuring the strangeness of strange attractors
• Chaos theory in geophysics: past, present and future
• Spatial pattern of arsenic contamination in shallow wells of Bangladesh: Regional geology and nonlinear dynamics
• Unnamed Item
• Unnamed Item
• Unnamed Item