title: A general theory for modeling capture-recapture data from a closed population.
abstract: A general theory for estimating the size of a closed population from multiple-recapture data is presented. This theory is easily extended to open population models for multiple-recapture data. Estimation is based on a log-linear model developed for modeling dependent capture-recapture data when capture probabilities vary temporally with behavioral response and are heterogeneous among animals. Models for complete capture history data are developed along with the first log-linear models for removal data. The maximum likelihood estimator of the model parameters along with the estimated covariance matrix are presented.
authors.affiliation: Washington State University, Pullman 99164-3144.
authors.forename: M A
authors.initials: MA
authors.lastname: Evans
authors.forename: D G
authors.initials: DG
authors.lastname: Bonett
authors.forename: L L
authors.initials: LL
authors.lastname: McDonald
mesh_terms: D000823:Animal Identification Systems; D000818:Animals; D008962:Models, Theoretical; D011156:Population Density; D011336:Probability