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Estimating the size of an open population using sparse capture-recapture data.
Huggins, Richard; Stoklosa, Jakub; Roach, Cameron; Yip, Paul.
Affiliation
  • Huggins R; School of Mathematics and Statistics, The University of Melbourne, Victoria, Australia.
  • Stoklosa J; School of Mathematics and Statistics and Evolution & Ecology Research Centre, The University of New South Wales, Sydney, New South Wales, Australia.
  • Roach C; Department of Econometrics and Business Statistics, Monash University, Clayton, Victoria, Australia.
  • Yip P; Department of Social Work and Social Administration, The University of Hong Kong, China.
Biometrics ; 74(1): 280-288, 2018 03.
Article in En | MEDLINE | ID: mdl-28632891
ABSTRACT
Sparse capture-recapture data from open populations are difficult to analyze using currently available frequentist statistical methods. However, in closed capture-recapture experiments, the Chao sparse estimator (Chao, 1989, Biometrics 45, 427-438) may be used to estimate population sizes when there are few recaptures. Here, we extend the Chao (1989) closed population size estimator to the open population setting by using linear regression and extrapolation techniques. We conduct a small simulation study and apply the models to several sparse capture-recapture data sets.
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Full text: 1 Database: MEDLINE Main subject: Linear Models / Data Interpretation, Statistical / Biometry Type of study: Risk_factors_studies Limits: Animals Language: En Journal: Biometrics Year: 2018 Type: Article Affiliation country: Australia

Full text: 1 Database: MEDLINE Main subject: Linear Models / Data Interpretation, Statistical / Biometry Type of study: Risk_factors_studies Limits: Animals Language: En Journal: Biometrics Year: 2018 Type: Article Affiliation country: Australia