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Statistical Modeling of Hydrogeologic Data ‐ Part I: Regression and ANOVA Models
Author(s) -
Kufs Charles T.
Publication year - 1992
Publication title -
groundwater monitoring and remediation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.677
H-Index - 47
eISSN - 1745-6592
pISSN - 1069-3629
DOI - 10.1111/j.1745-6592.1992.tb00042.x
Subject(s) - hydrogeology , statistical model , regression analysis , variance (accounting) , statistical analysis , analysis of variance , statistics , regression , computer science , mathematics , engineering , geotechnical engineering , accounting , business
Statistical modeling can be a powerful tool for analyzing complex hydrogeologic and water quality data. The objectives of this paper are to discuss the nature of statistical models; to describe two types of statistical models, regression models, and analysis of variance (ANOVA) models; and to give examples of how the models have been and could be applied to solve hydrogeologic problems.