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NONPARAMETRIC APPROACHES TO ENVIRONMENTAL IMPACT ASSESSMENT 1
Author(s) -
Hipel Keith W.
Publication year - 1988
Publication title -
jawra journal of the american water resources association
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.957
H-Index - 105
eISSN - 1752-1688
pISSN - 1093-474X
DOI - 10.1111/j.1752-1688.1988.tb00898.x
Subject(s) - nonparametric statistics , parametric statistics , computer science , water quality , sequence (biology) , series (stratigraphy) , perspective (graphical) , environmental quality , quality (philosophy) , econometrics , data mining , statistics , mathematics , artificial intelligence , chemistry , ecology , geology , philosophy , epistemology , biology , paleontology , biochemistry
The interesting developments in non‐parainetric testing and estimation methods presented in the upcoming sequence of nine papers are evaluated, compared, and put into proper perspective. Because a deterioration in water quality constitutes a direct threat to human health, it is of utmost importance to have flexible non‐parametric methods available for detecting and describing trends in water quality time series. A distinct advantage of nonparametric tests is that they are usually very effective when applied to “messy” environmental data which may, for example, contain many missing observations and not be normally distributed. By applying their enhanced approaches for nonparametric methods to water quality time series, as well as employing well designed simulation experiments, the authors of the papers clearly demonstrate the efficacy of utilizing nonparametric tests in environmental impact assessment.