On the estimation of homogeneous population size from a complex dual-record system

Article Type

Research Article

Publication Title

Journal of Statistical Computation and Simulation

Abstract

A dual-record system (DRS) (equivalently two sample capture–recapture experiments) model, with time and behavioural response variation, has attracted much attention specifically in the domain of official statistics and epidemiology, as the assumption of list independence often fails. The relevant model suffers from parameter identifiability problem, and suitable Bayesian methodologies could be helpful. In this article, we formulate population size estimation in DRS as a missing data problem and two empirical Bayes approaches are proposed along with the discussion of an existing Bayes treatment. Some features and associated posterior convergence for these methods are mentioned. Investigation through an extensive simulation study finds that our proposed approaches compare favourably with the existing Bayes approach for this complex model depending upon the availability of directional nature of underlying behavioural response effect. A real-data example is given to illustrate these methods.

First Page

3562

Last Page

3581

DOI

10.1080/00949655.2016.1173695

Publication Date

11-21-2016

Comments

Open Access; Green Open Access

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