Combining cluster sampling and link-tracing sampling to estimate the size of a hidden population: asymptotic properties of the estimators

DOI10.1080/15598608.2017.1405374zbMath1426.62026arXiv1506.06190OpenAlexW2770671230MaRDI QIDQ2321816

Martín H. Félix-Medina

Publication date: 23 August 2019

Published in: Journal of Statistical Theory and Practice (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1506.06190

zbMATH Keywords

asymptotic normalitymaximum likelihood estimatorcapture-recapturesnowball samplingchain-referral samplinghard-to-detect population

Mathematics Subject Classification ID

Asymptotic properties of parametric estimators (62F12) Applications of statistics to biology and medical sciences; meta analysis (62P10) Sampling theory, sample surveys (62D05)

Cites Work

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• On the asymptotic normality of multinomial population size estimators with application to backcalculation of AIDS epidemic
• The Use of Mixed Logit Models to Reflect Heterogeneity in Capture‐Recapture Studies
• Estimating the Size of a Multinomial Population
• Linear Statistical Inference and its Applications
• A New Proof of the Pearson-Fisher Theorem
• Large deviations

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