Estimating population size for a continuous time frailty model with covariates in a capture-recapture study

Biometrics. 2007 Sep;63(3):917-21. doi: 10.1111/j.1541-0420.2007.00773.x. Epub 2007 Apr 2.

Abstract

A continuous time frailty capture-recapture model is proposed for estimating population size of a closed population with the use of observed covariates to explain individuals' heterogeneity in presence of a random effect. A conditional likelihood approach is used to derive the estimate of parameters, and the Horvitz-Thompson estimator is adopted to estimate the unknown population size. Asymptotic normality of the estimates is obtained. Simulation results and a real example show that the proposed method works satisfactorily.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Algorithms*
  • Biometry / methods*
  • Computer Simulation
  • Data Interpretation, Statistical*
  • Demography*
  • Humans
  • Models, Biological*
  • Models, Statistical
  • Population Density*
  • Population Dynamics*
  • Sample Size
  • Statistical Distributions