| Main Title |
Robust Bayes Models of Fish Response to Lake Acidification. |
| 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
|
| Holdings |
| Library |
Call Number |
Additional Info |
Location |
Last
Modified |
Checkout
Status |
| NTIS |
PB89-142657 |
Some EPA libraries have a fiche copy filed under the call number shown. |
|
07/26/2022 |
|
| 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. |
| Supplementary Notes |
Sponsored by Corvallis Environmental Research Lab., OR. |
| NTIS Title Notes |
Symposium paper. |
| Category Codes |
68D; 57H; 43F |
| NTIS Prices |
PC A03/MF A01 |
| Primary Description |
600/02 |
| Document Type |
NT |
| Cataloging Source |
NTIS/MT |
| Control Number |
908926871 |
| Origin |
NTIS |
| Type |
CAT |
