Capture-Recapture Methods for the Social and Medical Sciences Capture-Recapture Methods for the Social and Medical Sciences
Chapman & Hall/CRC Interdisciplinary Statistics

Capture-Recapture Methods for the Social and Medical Sciences

Dankmar Böhning والمزيد
    • ‏82٫99 US$
    • ‏82٫99 US$

وصف الناشر

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.

النوع
علم وطبيعة
تاريخ النشر
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٢٨ يوليو
اللغة
EN
الإنجليزية
عدد الصفحات
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الناشر
CRC Press
البائع
Taylor & Francis Group
الحجم
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‫م.ب.‬
Bayesian Inference Bayesian Inference
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Statistical Data Fusion Statistical Data Fusion
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Categorical Data Analysis by Example Categorical Data Analysis by Example
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Introduction to Statistical Modelling and Inference Introduction to Statistical Modelling and Inference
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A Course in Categorical Data Analysis A Course in Categorical Data Analysis
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Recent Advances in Linear Models and Related Areas Recent Advances in Linear Models and Related Areas
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Statistics for Fission Track Analysis Statistics for Fission Track Analysis
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Statistical and Computational Pharmacogenomics Statistical and Computational Pharmacogenomics
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Time Series Modeling of Neuroscience Data Time Series Modeling of Neuroscience Data
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Markov Chain Monte Carlo in Practice Markov Chain Monte Carlo in Practice
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Meta-analysis of Binary Data Using Profile Likelihood Meta-analysis of Binary Data Using Profile Likelihood
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Spatial Point Patterns Spatial Point Patterns
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