ABSTRACT

Capture-recapture methods have been used in biology and ecology for more than 100 years. However, it is only recently that these methods have become popular in the social and medical sciences to estimate the size of elusive populations such as illegal immigrants, illicit drug users, or people with a drinking problem. Capture-Recapture Methods for the Social and Medical Sciences brings together important developments which allow the application of these methods. It has contributions from more than 40 researchers, and is divided into eight parts, including topics such as ratio regression models, capture-recapture meta-analysis, extensions of single and multiple source models, latent variable models and Bayesian approaches.

The book is suitable for everyone who is interested in applying capture-recapture methods in the social and medical sciences. Furthermore, it is also of interest to those working with capture-recapture methods in biology and ecology, as there are some important developments covered in the book that also apply to these classical application areas.

part I|18 pages

Introduction

chapter 1|16 pages

Basic concepts of capture-recapture

ByDankmar Böhning, John Bunge, Peter G.M. van der Heijden

part II|60 pages

Ratio Regression Models

chapter 2|18 pages

Ratio regression and capture-recapture

ByMarco Alfó, Dankmar Böhning, Irene Rocchetti

chapter 3|15 pages

The Conway-Maxwell-Poisson distribution and capture-recapture count data

ByAntonello Maruotti, Orasa Anan

part III|28 pages

Meta-Analysis in Capture-Recapture

chapter 6|5 pages

On meta-analysis in capture-recapture

ByJohn Bunge

chapter 7|12 pages

A case study on maritime accidents using meta-analysis in capture -recapture

ByDankmar Böhning, John Bunge

chapter 8|8 pages

A meta-analytic generalization of the Lincoln–Petersen estimator for mark-and-resight studies

ByDankmar Böhning, Mehmet Orman, Timur Köse, John Bunge

part IV|103 pages

Extensions of Single Source Models

chapter 9|12 pages

Estimating the population size via the empirical probability generating function

ByJohn Bunge, Sarah Sernaker

chapter 10|20 pages

Convex estimation

ByCécile Durot, Jade Giguelay, Sylvie Huet, Francois Koladjo, Stéphane Robin

chapter 12|8 pages

Extending the truncated Poisson regression model to a time-at-risk model

ByMaarten J.L.F. Cruyff, Thomas F. Husken, Peter G.M. van der Heijden

chapter 13|27 pages

Extensions of the Chao estimator for covariate information: Poisson case

ByAlberto Vidal-Diez, Dankmar Böhning

chapter 14|19 pages

Population size estimation for one-inflated count data based upon the geometric distribution

ByPanicha Kaskasamkul, Dankmar Bohning

part V|63 pages

Multiple Sources

chapter 15|15 pages

Dual and multiple system estimation: Fully observed and incomplete covariates

ByPeter G. M. van der Heijden, Maarten Cruyff, Joe Whittaker, Bart F.M. Bakker, Paul A. Smith

chapter 17|21 pages

Trimmed dual system estimation

ByLi-Chun Zhang, John Dunne

chapter 18|15 pages

Estimation of non-registered usual residents in the Netherlands

ByBart F. M. Bakker, Peter G. M. van der Heijden, Susanna C. Gerritse

part VI|86 pages

Latent Variable Models

chapter 19|14 pages

Population size estimation using a categorical latent variable

ByElena Stanghellini, Maria Giovanna Ranalli

chapter 20|14 pages

Latent class: Rasch models and marginal extensions

ByFrancesco Bartolucci, Antonio Forcina

chapter 21|9 pages

Performance of hierarchical log-linear models for a heterogeneous population with three lists

ByZhiyuan Ma, Chang Xuan Mao, Yitong Yang

chapter 22|25 pages

A multidimensional Rasch model for multiple system estimation where the number of lists changes over time

ByElvira Pelle, David J. Hessen, Peter G. M. van der Heijden

chapter 23|20 pages

Extending the Lincoln–Petersen estimator when both sources are counts

ByRattana Lerdsuwansri, Dankmar Böhning

part VII|25 pages

Bayesian Approaches

chapter 24|8 pages

Objective Bayes estimation of the population size using Kemp distributions

ByKathryn Barger, John Bunge

chapter 25|15 pages

Bayesian population size estimation with censored counts

ByDanilo Alunni Fegatelli, Alessio Farcomeni, Luca Tardella

part VIII|10 pages

Miscellaneous Topics

chapter 26|8 pages

Uncertainty assessment in capture-recapture studies and the choice of sampling effort

ByDankmar Böhning, John Bunge, Peter G.M. van der Heijden