The use of auxiliary variables in capture-recapture and removal experiments
Biometrics
Links
- More information: Publisher Index Page (via DOI)
- Download citation as: RIS | Dublin Core
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.
Suggested Citation
Pollock, K.H., Hines, J., and Nichols, J., 1984, The use of auxiliary variables in capture-recapture and removal experiments: Biometrics, v. 40, no. 2, p. 329-340, https://doi.org/10.2307/2531386.
| Publication type | Article |
|---|---|
| Publication Subtype | Journal Article |
| Title | The use of auxiliary variables in capture-recapture and removal experiments |
| Series title | Biometrics |
| DOI | 10.2307/2531386 |
| Volume | 40 |
| Issue | 2 |
| Year Published | 1984 |
| Language | English |
| Publisher | International Biometric Society |
| Contributing office(s) | Patuxent Wildlife Research Center |
| Description | 12 p. |
| First page | 329 |
| Last page | 340 |