Coverage-adjusted estimators for mark-recapture in heterogeneous populations.

Ian Britton James Goudie, J Ashbridge

Research output: Contribution to journalArticlepeer-review

Abstract

Consideration of coverage yields a new class of estimators of population size for the standard mark-recapture model which permits heterogeneity of capture probabilities. Real data and simulation studies are used to assess these coverage-adjusted estimators. The simulations highlight the need for estimators that perform well for a wide range of values of the mean and coefficient of variation of the capture probabilities. When judged for this type of robustness, the simulations provide good grounds for preferring the new estimators to earlier ones for this model, except when the number of sampling occasions is large. A bootstrapping approach is used to estimate the standard errors of the new estimators, and to obtain confidence intervals for the population size.

Original languageEnglish
Pages (from-to)1215-1237
Number of pages23
JournalCommunications in Statistics: Simulation and Computation
Volume29
Publication statusPublished - 2000

Keywords

  • capture-recapture sampling
  • jackknife estimator
  • population size
  • root mean square error
  • sample coverage
  • CAPTURE PROBABILITIES VARY
  • ROBUST ESTIMATION
  • SIZE
  • ANIMALS
  • MODELS
  • TIME

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