NDLI: An overview of closed capture-recapture models

Content Provider	Springer Nature Link
Author	Chao, Anne
Copyright Year	2001
Abstract	This article reviews various models for both discrete-time and continuous-time closed capture-recapture experiments. The traditional discrete-time models assume that the samples are independent. Dependence may be caused by local dependence (list dependence) within each animal or by heterogeneity among animals. Three different approaches that can incorporate dependence into models are reviewed, i.e., ecological models, log-linear models, and the sample-coverage approach. The statistical tools involved in population size estimation in these three approaches cover a wide range of methodologies. There has been relatively little published research for the continuous-time counterparts. The counting process approach, which is the framework for most existing estimation procedures for continuous-time models, is reviewed. The connection of continuous-time models to recurrent event analysis in the context of failure time inferences is discussed. The applications of capture-recapture models to other disciplines are briefly presented. Remarks about the limitations of the models are made and some future research directions are also suggested.
Starting Page	158
Ending Page	175
Page Count	18
File Format	PDF
ISSN	10857117
Journal	Journal of Agricultural, Biological, and Environmental Statistics
Volume Number	6
Issue Number	2
e-ISSN	15372693
Language	English
Publisher	Springer-Verlag
Publisher Date	2001-01-01
Publisher Place	New York
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Counting processes Ecological models Log-linear models Mark-recapture Population size Sample coverage Tag-recapture Statistics for Life Sciences, Medicine, Health Sciences Agriculture Environmental Monitoring/Analysis Biostatistics
Content Type	Text
Resource Type	Article
Subject	Applied Mathematics Statistics and Probability Environmental Science Agricultural and Biological Sciences Statistics, Probability and Uncertainty

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