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A comparison of robust bayes and classical estimators for regional lake models of fish response to acidification

Publication ,  Journal Article
Reckhow, KH
Published in: Water Resources Research
January 1, 1988

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. Copyright 1988 by the American Geophysical Union.

Duke Scholars

Published In

Water Resources Research

DOI

EISSN

1944-7973

ISSN

0043-1397

Publication Date

January 1, 1988

Volume

24

Issue

7

Start / End Page

1061 / 1068

Related Subject Headings

  • Environmental Engineering
  • 4011 Environmental engineering
  • 4005 Civil engineering
  • 3707 Hydrology
  • 0907 Environmental Engineering
  • 0905 Civil Engineering
  • 0406 Physical Geography and Environmental Geoscience
 

Citation

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ICMJE
MLA
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Reckhow, K. H. (1988). A comparison of robust bayes and classical estimators for regional lake models of fish response to acidification. Water Resources Research, 24(7), 1061–1068. https://doi.org/10.1029/WR024i007p01061
Reckhow, K. H. “A comparison of robust bayes and classical estimators for regional lake models of fish response to acidification.” Water Resources Research 24, no. 7 (January 1, 1988): 1061–68. https://doi.org/10.1029/WR024i007p01061.
Reckhow, K. H. “A comparison of robust bayes and classical estimators for regional lake models of fish response to acidification.” Water Resources Research, vol. 24, no. 7, Jan. 1988, pp. 1061–68. Scopus, doi:10.1029/WR024i007p01061.
Journal cover image

Published In

Water Resources Research

DOI

EISSN

1944-7973

ISSN

0043-1397

Publication Date

January 1, 1988

Volume

24

Issue

7

Start / End Page

1061 / 1068

Related Subject Headings

  • Environmental Engineering
  • 4011 Environmental engineering
  • 4005 Civil engineering
  • 3707 Hydrology
  • 0907 Environmental Engineering
  • 0905 Civil Engineering
  • 0406 Physical Geography and Environmental Geoscience