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A unified approach to estimating population size for a births only model

✍ Scribed by Cathy W.S. Chen; Shen-Ming Lee; Ying-Hen Hsieh; Kumnuan Ungchusak

Publisher
Elsevier Science
Year
1999
Tongue
English
Weight
135 KB
Volume
32
Category
Article
ISSN
0167-9473

No coin nor oath required. For personal study only.

✦ Synopsis

The primary goal of this paper is to estimate the population size for a births only model when the capture probabilities vary with behavior response and time (or sampling occasion). A Bayesian framework is developed from the births only models for the capture-recapture experiment. We propose a uniΓΏed approach for estimating the population size on each sampling occasion for four speciΓΏed models using the Gibbs sampler, a Markov chain Monte Carlo method. The proposed methodology is illustrated with a simulation study and HIV serosurveillance data of Thailand. The results show that Gibbs sampler provides a reasonable estimate of population size when compared with the classical technique.

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