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Investigations of potential bias in the estimation of ?? using Pradel's (1996) model for capture-recapture data

Journal of Applied Statistics

By:
,
DOI: 10.1080/02664760120108872

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Abstract

Pradel's (1996) temporal symmetry model permitting direct estimation and modelling of population growth rate, ??i, provides a potentially useful tool for the study of population dynamics using marked animals. Because of its recent publication date, the approach has not seen much use, and there have been virtually no investigations directed at robustness of the resulting estimators. Here we consider several potential sources of bias, all motivated by specific uses of this estimation approach. We consider sampling situations in which the study area expands with time and present an analytic expression for the bias in ??i We next consider trap response in capture probabilities and heterogeneous capture probabilities and compute large-sample and simulation-based approximations of resulting bias in ??i. These approximations indicate that trap response is an especially important assumption violation that can produce substantial bias. Finally, we consider losses on capture and emphasize the importance of selecting the estimator for ??i that is appropriate to the question being addressed. For studies based on only sighting and resighting data, Pradel's (1996) ??i is the appropriate estimator.

Additional Publication Details

Publication type:
Article
Publication Subtype:
Journal Article
Title:
Investigations of potential bias in the estimation of ?? using Pradel's (1996) model for capture-recapture data
Series title:
Journal of Applied Statistics
DOI:
10.1080/02664760120108872
Volume
29
Issue:
1-4
Year Published:
2002
Language:
English
Larger Work Type:
Article
Larger Work Subtype:
Journal Article
Larger Work Title:
Journal of Applied Statistics
First page:
573
Last page:
587
Number of Pages:
15