Population size estimation using local sample coverage for open populations.

DOI10.1016/S0378-3758(02)00093-9zbMath1043.62095MaRDI QIDQ1873105

Anne Chao, Hsin-Chou Yang, Paul S. F. Yip, Richard M. Huggins

Publication date: 19 May 2003

Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)

zbMATH Keywords

MartingaleKernel functionCapture-recaptureOpen populationSample coverage

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Nonparametric estimation (62G05)

Related Items (8)

Estimating the size of an open population with massive datasets based on a generalized varying-coefficient model ⋮ Some properties of a nonparametric estimator of the size of an open population ⋮ Estimating population size of heterogeneous populations with large data sets and a large number of parameters ⋮ NONPARAMETRIC METHOD FOR ESTIMATING THE SIZE OF AN OPEN POPULATION USING MARGINAL DATA FROM REPEATED MULTIPLE LISTS ⋮ Estimation of the Size of an Open Population Using Local Estimating Equations II: A Partially Parametric Approach ⋮ Semiparametric inference for open populations using the Jolly–Seber model: a penalized spline approach ⋮ Estimating Sizes of Social Networks via Biased Sampling ⋮ Semiparametric Estimation of Animal Abundance Using Capture-Recapture Data from Open Populations

Cites Work

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• Popoulation size estimation based on estimating functions for closed capture-recapture models
• A note on the difficulties associated with the analysis of capture-recapture experiments with heterogeneous capture probabilities

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