Cover -- Title -- Published titles -- Copyright -- Dedication -- Contents -- Foreword by Byron J.T. Morgan -- Preface -- List of Figures -- List of Tables -- Contributors -- Part I Introduction -- Chapter1 Basic concepts of capture-recapture -- 1.1 Introduction and background -- 1.2 Data sets -- 1.2.1 Golf tees in St. Andrews -- 1.2.2 Homeless population of the city of Utrecht -- 1.2.3 McKendrick's Cholera data -- 1.2.4 Matthews's data on estimating the Dystrophin density in the human muscle -- 1.2.5 Del Rio Vilas's data on Scrapie surveillance in Great Britain 2005 -- 1.2.6 Hser's data on estimating hidden intravenous drug users in Los Angeles 1989 -- 1.2.7 Methamphetamine drug use in Bangkok 2001 -- 1.2.8 Chun's data on estimating hidden software errors for the AT & Ts 5ESS switch -- 1.2.9 Estimating the size of the female grizzly bear population in the Greater Yellowstone Ecosystem -- 1.2.10 Spinner dolphins around Moorea Island -- 1.2.11 Microbial diversity in the Gotland Deep -- 1.2.12 Illegal immigrants in the Netherlands -- 1.2.13 Shakespeare's unused words -- 1.3 Estimating population size under homogeneity -- 1.4 Simple estimates under heterogeneity -- 1.5 Examples and applications -- 1.6 Heterogeneity of sources or occasions -- 1.6.1 Darroch's estimator and Lincoln{Petersen -- 1.7 Glossary -- Part II Ratio Regression Models -- Chapter2 Ratio regression and capture-recapture -- 2.1 Introduction -- 2.2 Individual and aggregated data -- 2.3 Real data examples -- 2.3.1 Fixed number of sources: The bowel cancer data -- 2.3.2 Unknown number of sources: The Shakespeare data -- 2.4 The ratio plot -- 2.4.1 The Katz family -- 2.4.2 Power series -- 2.4.3 Mixed power series -- 2.4.4 A speci c case: The Beta-binomial distribution -- 2.5 The regression approach -- 2.6 Applications -- 2.6.1 The bowel cancer data