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Biometrics
Article . 1995 . Peer-reviewed
Data sources: Crossref
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Quantifying the Effects of Unequal Catchabilities on Jolly-Seber Estimators Via Sample Coverage

Quantifying the effects of unequal catchabilities on Jolly-Seber estimators via sample coverage
Authors: Hwang, W.-D.; Chao, Anne;

Quantifying the Effects of Unequal Catchabilities on Jolly-Seber Estimators Via Sample Coverage

Abstract

Summary: Using the concept of sample coverage, we derive an approximation of the bias in the Jolly-Seber population size estimators [\textit{G. M. Jolly}, Biometrika 52, 225-247 (1965; Zbl 0141.366); \textit{G. A. F. Seber}, ibid., 249-259 (1965; Zbl 0141.366)] due to heterogeneity of capture probabilities. The resulting bias is expressed as a function of sample coverage, average capture probability, and the coefficient of variation of individual capture probabilities. The effect of unequal catchabilities on the Jolly-Seber survival rate estimators is also briefly discussed. We propose new population size estimators which incorporate the heterogeneity of capture probabilities. A simulation study investigates the performance of the approximation formulas of biases and the proposed estimation procedure. A real data set of male black-kneed capsids illustrates the method.

Keywords

sample coverage, open model, Jolly-Seber population size estimators, approximation formulas of biases, simulation study, capture-recapture sampling, Applications of statistics to biology and medical sciences; meta analysis, effect of unequal catchabilities, heterogeneity of capture probabilities, survival rate estimators, Sampling theory, sample surveys

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
23
Average
Top 10%
Average
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