A unified approach to estimating population size for a births only model
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 capturerecapture experiment. We propose a unified approach for estimating the population size on each sampling occasion for four specified 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.
births only model behavior response gibbs sampler markov chain monte carlo method hiv serosurveillance data capturerecapture sampling time variation hiv-infected ivdu's open population