title: A unified parametric regression model for recapture studies with random removals in continuous time.
abstract: Conditional likelihood based on counting processes are combined with a Horvitz-Thompson estimator to yield a population size estimator that is more efficient than the existing ones. Random removals are allowed in the recapturing process. Simulation studies are shown to assess the performance of the proposed estimators. Examples on a bird banding and a small mammal recapturing study are given.
authors.affiliation: Department of Statistics and Actuarial Science, The University of Hong Kong, Hong Kong. sfpyip@hku.hk
authors.forename: Paul S F
authors.initials: PS
authors.lastname: Yip
authors.forename: Yan
authors.initials: Y
authors.lastname: Wang
mesh_terms: D000818:Animals; D001717:Birds / Q000254:growth & development*; D003198:Computer Simulation; D005260:Female; D006723:Hong Kong; D016013:Likelihood Functions; D008297:Male; D015233:Models, Statistical; D011156:Population Density; D012044:Regression Analysis