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RECORD NUMBER: 13 OF 33

Main Title Comparison of Robust Bayes and Classical Estimators for Regional Lake Models of Fish Response to Acidification.
Author Reckhow, K. H. ;
CORP Author Duke Univ., Durham, NC. School of Forestry and Environmental Studies.;Corvallis Environmental Research Lab., OR.
Publisher c1988
Year Published 1988
Report Number EPA-R-812641; EPA/600/J-88/433;
Stock Number PB90-125873
Additional Subjects Trout ; Acidification ; Lakes ; Adirondack Mountains ; Mathematical models ; Water chemistry ; Estimates ; Comparison ; Bayes theorem ; Reprints ; Acid precipitation ; Bayes model
Holdings
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Status
NTIS  PB90-125873 Some EPA libraries have a fiche copy filed under the call number shown. 07/26/2022
Collation 10p
Abstract
Empirical models of fish response to lake acidification were recently fit to a large historical data set from the Adirondack region of the United States using classical and Bayesian methods. The models may be used to predict species presence/absence for brook trout and lake trout as a function of acid-precipitation-related water chemistry, using a logistic function. To evaluate the effectiveness of the models in the prediction of presence/absence due to regional lake acidification new data sets were used for cross validation of the candidate models. Based on the evaluation, the robust Bayes models, which are based on a compromise estimator between Bayes and empirical Bayes, were found to be the best predictors of species presence/absence in lakes.