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Non‐parametric estimation of population size from capture–recapture data when the capture probability depends on a covariate
Author(s) -
Huggins Richard,
Hwang WenHan
Publication year - 2007
Publication title -
journal of the royal statistical society: series c (applied statistics)
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.205
H-Index - 72
eISSN - 1467-9876
pISSN - 0035-9254
DOI - 10.1111/j.1467-9876.2007.00585.x
Subject(s) - covariate , mark and recapture , estimator , statistics , parametric statistics , parametric model , population , mathematics , econometrics , demography , sociology
Summary. In capture–recapture experiments the capture probabilities may depend on individual covariates such as an individual's weight or age. Typically this dependence is modelled through simple parametric functions of the covariates. Here we first demonstrate that misspecification of the model can produce biased estimates and subsequently develop a non‐parametric procedure to estimate the functional relationship between the probability of capture and a single covariate. This estimator is then incorporated in a Horvitz–Thompson estimator to estimate the size of the population. The resulting estimators are evaluated in a simulation study and applied to a data set on captures of the Mountain Pygmy Possum.