A Contribution to the Theory Behind the M0 Capture-Recapture Model: An Improved Estimator
Kyle Vincent

TL;DR
This paper introduces an improved estimator for the M0 capture-recapture model using a Rao-Blackwellization approach, enhancing estimation efficiency based on sufficient statistics, supported by simulation results.
Contribution
It presents a novel Rao-Blackwellized estimator for the M0 model, improving estimation accuracy over traditional methods.
Findings
The improved estimator is more efficient than existing estimators.
Simulation results demonstrate the estimator's superior performance.
The R code implementation facilitates practical application.
Abstract
We explore the use of a sufficient statistic based on the identified members that are obtained for samples that are selected under the capture-recapture closed population model (Schwarz and Seber, 1999). A Rao-Blackwellized version of the estimator based on a sufficient statistic is then presented. We explore the efficiency of the improved estimator via a simulation study. The R code for the simulation is provided in the appendix.
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Taxonomy
TopicsCensus and Population Estimation · Migration, Health and Trauma · Survey Sampling and Estimation Techniques
