Parametric Regression Models for Continuous Time Removal and Recapture Studies

DOI10.1111/1467-9868.00184zbMath0913.62117OpenAlexW2112861806MaRDI QIDQ4237758

Paul S. F. Yip, D. Y. Lin

Publication date: 13 April 1999

Published in: Journal of the Royal Statistical Society Series B: Statistical Methodology (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/1467-9868.00184

zbMATH Keywords

martingalecounting processcapture-recapture experimentpopulation size estimationreliability testinganimal abundanceheterogeneous capturability

Mathematics Subject Classification ID

Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Applications of statistics to biology and medical sciences; meta analysis (62P10)

Related Items (12)

Population size estimation using local sample coverage for open populations. ⋮ Capture-Recapture Experiments with Time Heterogeneous Capture Probabilities in Continuous Time: A Counting Process Approach ⋮ A Semiparametric Model for Recapture Experiments ⋮ Abundance estimation with a categorical covariate subject to missing in continuous-time capture-recapture studies ⋮ Maximum likelihood abundance estimation from capture‐recapture data when covariates are missing at random ⋮ Continuous Time-Interaction Processes for Population Size Estimation, with an Application to Drug Dealing in Italy ⋮ Population size estimation with covariate values missing non-ignorable ⋮ Estimating Population Size for a Continuous Time Frailty Model with Covariates in a Capture–Recapture Study ⋮ Proportional Trapping-Removal Model with a Known Ratio ⋮ A Unified Parametric Regression Model for Recapture Studies with Random Removals in Continuous Time ⋮ A Semiparametric Method for Estimating Population Size for Capture-Recapture Experiments with Random Covariates in Continuous Time ⋮ Estimation of Covariate Distribution with Capture–Recapture Data

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