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Abundance estimation with a categorical covariate subject to missing in continuous-time capture-recapture studies.
- Source :
-
Communications in Statistics: Theory & Methods . 2020, Vol. 49 Issue 20, p4919-4928. 10p. - Publication Year :
- 2020
-
Abstract
- 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. [ABSTRACT FROM AUTHOR]
- Subjects :
- *MISSING data (Statistics)
*MAXIMUM likelihood statistics
*CONFIDENCE intervals
Subjects
Details
- Language :
- English
- ISSN :
- 03610926
- Volume :
- 49
- Issue :
- 20
- Database :
- Academic Search Index
- Journal :
- Communications in Statistics: Theory & Methods
- Publication Type :
- Academic Journal
- Accession number :
- 145890402
- Full Text :
- https://doi.org/10.1080/03610926.2019.1609039