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The use of auxiliary variables in capture-recapture and removal experiments

Biometrics

3068_Pollock.pdf
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Abstract

The dependence of animal capture probabilities on auxiliary variables is an important practical problem which has not been considered in the development of estimation procedures for capture-recapture and removal experiments. In this paper the linear logistic binary regression model is used to relate the probability of capture to continuous auxiliary variables. The auxiliary variables could be environmental quantities such as air or water temperature, or characteristics of individual animals, such as body length or weight. Maximum likelihood estimators of the population parameters are considered for a variety of models which all assume a closed population. Testing between models is also considered. The models can also be used when one auxiliary variable is a measure of the effort expended in obtaining the sample.

Additional Publication Details

Publication type:
Article
Publication Subtype:
Journal Article
Title:
The use of auxiliary variables in capture-recapture and removal experiments
Series title:
Biometrics
Volume
40
Issue:
2
Year Published:
1984
Language:
English
Contributing office(s):
Patuxent Wildlife Research Center
Description:
329-340
Larger Work Type:
Article
Larger Work Subtype:
Journal Article
Larger Work Title:
Biometrics
First page:
329
Last page:
340