A comparison of robust bayes and classical estimators for regional lake models of fish response to acidification
Article first published online: 9 JUL 2010
Copyright 1988 by the American Geophysical Union.
Water Resources Research
Volume 24, Issue 7, pages 1061–1068, July 1988
How to Cite
1988), A comparison of robust bayes and classical estimators for regional lake models of fish response to acidification, Water Resour. Res., 24(7), 1061–1068, doi:10.1029/WR024i007p01061.(
- Issue published online: 9 JUL 2010
- Article first published online: 9 JUL 2010
- Manuscript Accepted: 17 MAR 1988
- Manuscript Received: 22 JUN 1987
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 this 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.