title: A Bayesian, combinatorial approach to capture-recapture.
abstract: It is shown that, in the capture-recapture method, the widely used formulae of Bailey or Chapman-Seber give the most likely value for the size of the population, but systematically underestimate the probability that the population is larger than any given size. We take here a first step in a combinatorial approach which does not suffer from this flaw: formulae are given which can be used in the closed case (no birth, death or migrations between captures) when at least two animals have been recaptured and when there is homogeneity with regard to capture probability. Numerical and heuristic evidence is presented pointing to the fact that the error incurred when using the formulae of Bailey or Chapman-Seber depends asymptotically only on the number of recaptured animals, and will not diminish if the number of captured animals becomes large while the number of recaptured animals remains constant. A result that was stated and left unproven by Darroch is proven here.
authors.affiliation: ETS de Ingeniería Aeronáutica, Plaza del Cardenal Cisneros, 3, Universidad Politécnica de Madrid, Madrid 28040, Spain. r.garcia-pelayo@upm.es
authors.forename: Ricardo
authors.initials: R
authors.lastname: García-Pelayo
mesh_terms: D000704:Analysis of Variance; D000818:Animals; D001499:Bayes Theorem; D015982:Bias; D001699:Biometry; D003627:Data Interpretation, Statistical; D007257:Information Theory; D008433:Mathematics; D015233:Models, Statistical; D011156:Population Density; D011336:Probability; D018401:Sample Size