Abundance estimation with a categorical covariate subject to missing in continuous-time capture-recapture studies

In continuous-time capture-recapture experiments, individual heterogeneity has a large effect on the capture probability. To account for the heterogeneity, we consider an individual covariate, which is categorical and subject to missing. In this article, we develop a general model to summarize three...

Full description

Saved in:
Bibliographic Details
Published inCommunications in statistics. Theory and methods Vol. 49; no. 20; pp. 4919 - 4928
Main Authors Liu, Yang, Zhu, Lin, Liu, Guanfu, Li, Huapeng
Format Journal Article
LanguageEnglish
Published Philadelphia Taylor & Francis 17.10.2020
Taylor & Francis Ltd
Subjects
Abundance
Birds
Computer simulation
Confidence intervals
continuous-time capture-recapture
Heterogeneity
Likelihood ratio
maximum likelihood estimation
Maximum likelihood estimators
missing covariate
Statistical analysis
Online AccessGet full text

Cover

More Information
Summary:In continuous-time capture-recapture experiments, individual heterogeneity has a large effect on the capture probability. To account for the heterogeneity, we consider an individual covariate, which is categorical and subject to missing. In this article, we develop a general model to summarize three kinds of missing mechanisms, and propose a maximum likelihood estimator of the abundance. A likelihood ratio confidence interval of the abundance is also proposed. We illustrate the proposed methods by simulation studies and a real data example of a bird species prinia subflava in Hong Kong.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:0361-0926
1532-415X
DOI:10.1080/03610926.2019.1609039