Estimation of the Size of an Open Population from Capture‐Recapture Data Using Weighted Martingale Methods

DOI10.1111/j.0006-341X.1999.00387.xzbMath1059.62660OpenAlexW1995751609WikidataQ30650122 ScholiaQ30650122MaRDI QIDQ4666575

Paul S. F. Yip, Richard M. Huggins

Publication date: 13 April 2005

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/j.0006-341x.1999.00387.x

zbMATH Keywords

kernel functionmartingalecapture-recaptureopen population

Mathematics Subject Classification ID

Asymptotic properties of nonparametric inference (62G20) Applications of statistics to biology and medical sciences; meta analysis (62P10) Sampling theory, sample surveys (62D05)

Related Items (11)

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 ⋮ Estimating the size of an open population with massive datasets based on a generalized varying-coefficient model ⋮ Semivarying coefficient models for capture-recapture data: colony size estimation for the little penguin \(Eudyptula minor\) ⋮ 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 the size of an open population using sparse capture-recapture data ⋮ Semiparametric Estimation of Animal Abundance Using Capture-Recapture Data from Open Populations

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Statistical inference procedure for a hypergeometric model for capture- recapture experiments
• The foundations of finite sample estimation in stochastic processes
• A method of inference for a capture-recapture experiment in discrete time with variable capture probabilities
• Estimating population size by recapture sampling via estimating function
• Efficiency of martingale methods in recapture studies
• Semiparametric Regression in Likelihood-Based Models
• Estimating Temporary Migration Using the Robust Design
• Catch-Effort Estimation of Population Parameters under the Robust Design
• A Likelihood-Based Approach to Capture-Recapture Estimation of Demographic Parameters under the Robust Design
• The Kernel Estimate of a Regression Function in Likelihood-Based Models

This page was built for publication: Estimation of the Size of an Open Population from Capture‐Recapture Data Using Weighted Martingale Methods