Nonparametric approaches to environmental impact assessment
Because a deterioration in water quality constitutes a direct threat to human health, it is of utmost importance to have flexible nonparametric 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, an attempt is made to demonstrate the efficacy of utilizing nonparametric tests in environmental impact assessment.
- Research Organization:
- Univ. of Waterloo, Ontario (Canada)
- OSTI ID:
- 6584700
- Journal Information:
- Water Resour. Bull.; (United States), Vol. 24:3
- Country of Publication:
- United States
- Language:
- English
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