Capture-recapture methods for the social and medical sciences
著者
書誌事項
Capture-recapture methods for the social and medical sciences
(Interdisciplinary statistics)
CRC Press, c2018
大学図書館所蔵 全3件
  青森
  岩手
  宮城
  秋田
  山形
  福島
  茨城
  栃木
  群馬
  埼玉
  千葉
  東京
  神奈川
  新潟
  富山
  石川
  福井
  山梨
  長野
  岐阜
  静岡
  愛知
  三重
  滋賀
  京都
  大阪
  兵庫
  奈良
  和歌山
  鳥取
  島根
  岡山
  広島
  山口
  徳島
  香川
  愛媛
  高知
  福岡
  佐賀
  長崎
  熊本
  大分
  宮崎
  鹿児島
  沖縄
  韓国
  中国
  タイ
  イギリス
  ドイツ
  スイス
  フランス
  ベルギー
  オランダ
  スウェーデン
  ノルウェー
  アメリカ
注記
Includes bibliographical references (p. 397-416) and index
内容説明・目次
内容説明
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.
目次
I Introductory Part
Basic concepts of capture-recapture
II Ratio Regression Models
Ratio regression and capture-recapture
The Conway-Maxwell-Poisson distribution and capture-recapture count data
The geometric distribution, the ratio plot under the null and the burden of Dengue Fever in Chiang Mai province
A ratio regression approach to estimate the size of the Salmonella infected flock population using validation information
III Meta-Analysis in Capture-Recapture
On meta-analysis in capture-recapture
A case study on maritime accidents using meta-analysis in capture-recapture
A meta-analytic generalization of the Lincoln-Petersen-estimator for mark-and-resight studies
IV Extensions of Single Source Models
Estimating the population size via the empirical probability generating function
Convex estimation
Non-parametric estimation of the population size using the empirical probability generating function
Extending the truncated Poisson regression model to a time-at-risk model
Extensions of the Chao-estimator for covariate information: Poisson case
Population size estimation for one-inflated count data based upon the geometric distribution
V Multiple Sources
Dual and multiple system estimation: fully observed and incomplete covariates
Population size estimation in CRC Models with continuous covariates
Trimmed dual system estimation
Estimation of non-registered usual residents in the Netherlands
VI Latent Variable Models
Population size estimation using a categorical latent variable
Latent class - Rasch models and marginal extensions
Performance of hierarchical log-linear models for a heterogeneous population with three lists
A multidimensional Rasch model for multiple system estimation where the number of lists changes over time
Extending the Lincoln-Petersen estimator when both sources are counts
VII Bayesian Approaches
Objective Bayes estimation of the population size using Kemp distributions
Bayesian population size estimation with censored counts
VIII Miscellaneous Topics
Uncertainty assessment in capture-recapture studies and the choice of sampling effort
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