| Description |
1 online resource : text file, PDF |
| Series |
Chapman & Hall/CRC interdisciplinary statistics series |
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Interdisciplinary statistics.
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| Contents |
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 |
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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 |
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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 |
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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 |
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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 |
| Summary |
"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."--Provided by publisher |
| Bibliography |
Includes bibliographical references and index |
| Subject |
Sampling (Statistics)
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Multiple imputation (Statistics)
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Missing observations (Statistics)
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Population forecasting.
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Social sciences -- Statistical methods.
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Medical statistics.
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Statistics as Topic
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Population Surveillance -- methods
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Population Forecast -- methods
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Data Interpretation, Statistical
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Biomedical Research -- statistics & numerical data
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Social Sciences -- statistics & numerical data
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Models, Statistical
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MEDICAL -- Psychiatry -- General.
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REFERENCE -- Questions & Answers.
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Medical statistics
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Missing observations (Statistics)
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Multiple imputation (Statistics)
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Population forecasting
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Sampling (Statistics)
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Social sciences -- Statistical methods
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| Genre/Form |
Medical statistics
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Medical statistics.
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| Form |
Electronic book
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| Author |
Böhning, Dankmar, editor.
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Bunge, John, 1957- editor.
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Heijden, P. G. M. van der (Peter G. M.), editor.
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| ISBN |
9781315151939 |
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1315151936 |
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9781498745345 |
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1498745342 |
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