Accounting for contamination and outliers in covariates for open population capture-recapture models
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- 作者：Jakub Stoklosaa ; j.stoklosa@unsw.edu.au" class="auth_mail" title="E-mail the corresponding author ; Wen-Han Hwangb ; Paul S.F. Yipc ; Richard M. Hugginsd
- 关键词：Cormack&ndash ; Jolly&ndash ; Seber model ; Heterogeneity ; Horvitz&ndash ; Thompson estimator ; Measurement error ; Outliers ; Robust statistics
- 刊名：Journal of Statistical Planning and Inference
- 出版年：2016
- 出版时间：September 2016
- 年：2016
- 卷：176
- 期：Complete
- 页码：52-63
- 全文大小：503 K
文摘
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Inclusion of covariates in capture–recapture studies can enhance the overall analysis.
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However population size estimates can result in bias if covariates are contaminated.
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A new robust open population size estimator is proposed to account for such outliers.
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These new estimators are used on real data when contamination is present.
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A simulation study is also conducted to examine bias, robustness and efficiency.