Record Display for the EPA National Library Catalog
RECORD NUMBER: 285 OF 369Main Title | Robust Bayes Models of Fish Response to Lake Acidification. | |||||||||||
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Author | Reckhow, K. H. ; | |||||||||||
CORP Author | Duke Univ., Durham, NC. School of Forestry and Environmental Studies.;Corvallis Environmental Research Lab., OR. | |||||||||||
Publisher | Jan 89 | |||||||||||
Year Published | 1989 | |||||||||||
Report Number | EPA-R-811837; EPA/600/D-88/277; | |||||||||||
Stock Number | PB89-142657 | |||||||||||
Additional Subjects | Water pollution ; Lakes ; Fishes ; Aquatic biology ; Acidification ; Mathematical models ; Predictions ; Water quality ; Water analysis ; Adirondack Mountains ; Environmental surveys ; Acid precipitation ; Acid deposition ; Risk assessment ; Path of pollutants | |||||||||||
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Collation | 16p | |||||||||||
Abstract | A large historical data set from the Adirondack region of the United States was created to study the relationship between water chemistry variables associated with acid precipitation and the presence/absence of selected fish species. From these data, logistic function models for presence/absence were fitted for brook trout and lake trout, using maximum likelihood and robust Bayes methods. The robust Bayes procedure used herein is a compromise estimator between Bayes and empirical Bayes, with the final expression based on classical risk function criteria. A cross-validation study will be used to aid in selection of a preferred model for policy analysis. |