Confidence intervals for fish out-migration estimates using stratified trap efficiency methods
| Autor: | Brian Dennis, Kirk Steinhorst, Yingqin Wu, Paul Kline |
|---|---|
| Rok vydání: | 2004 |
| Předmět: |
Statistics and Probability
Applied Mathematics Maximum likelihood Fishing Estimator Trap (plumbing) Agricultural and Biological Sciences (miscellaneous) Confidence interval Mark and recapture Statistics Econometrics Fish Statistics Probability and Uncertainty Bootstrap confidence interval General Agricultural and Biological Sciences General Environmental Science Mathematics |
| Zdroj: | Journal of Agricultural, Biological, and Environmental Statistics. 9:284-299 |
| ISSN: | 1537-2693 1085-7117 |
| Popis: | Marked fish placed above a smolt trap allow fisheries biologists to estimate the efficiency of the trap and hence to estimate the number of smolts migrating past the trap. We compared stratified maximum likelihood estimators and confidence intervals of total numbers of fish migrating to two other well-known estimators and associated confidence intervals using simulation. The Bailey adjusted Lincoln-Petersen estimator and its bootstrap confidence interval performed well overall. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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