BAYESIAN METHODS FOR ESTIMATION OF THE SIZE OF A CLOSED POPULATION

Authors
MADIGAN D YORK JC
Citation
D. Madigan et Jc. York, BAYESIAN METHODS FOR ESTIMATION OF THE SIZE OF A CLOSED POPULATION, Biometrika, 84(1), 1997, pp. 19-31
Citations number
28
Categorie Soggetti
Mathematical Methods, Biology & Medicine","Statistic & Probability
Journal title
Biometrika → ACNP
ISSN journal
00063444
Volume
84
Issue
1
Year of publication
1997
Pages
19 - 31
Database
ISI
SICI code
0006-3444(1997)84:1<19:BMFEOT>2.0.ZU;2-X
Abstract
A Bayesian methodology for estimating the size of a closed population from multiple incomplete administrative lists is proposed. The approac h allows for a variety of dependence structures between the lists, can make use of covariates, and explicitly accounts for model uncertainty . Interval estimates from this approach are compared to frequentist an d previously published Bayesian approaches. Several examples are consi dered.