Closed-population capture--recapture models with measurement error and missing observations in covariates

DOI10.5705/ss.202017.0088zbMath1421.62155OpenAlexW2777845175MaRDI QIDQ5226600

Jakub Stoklosa, Wen-Han Hwang, Shen-Ming Lee

Publication date: 1 August 2019

Published in: Statistica Sinica (Search for Journal in Brave)

Full work available at URL: https://semanticscholar.org/paper/ae87a5df476bd167180f6db766127c0fcbeebf8e

zbMATH Keywords

multiple imputationmissing at randomconditional scoreinverse probability weightingpopulation size estimationdifferential measurement errors

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Measures of association (correlation, canonical correlation, etc.) (62H20)

Related Items (4)

Population size estimation using zero-truncated Poisson regression with measurement error ⋮ Maximum likelihood abundance estimation from capture‐recapture data when covariates are missing at random ⋮ Semiparametric empirical likelihood inference for abundance from one‐inflated capture–recapture data ⋮ Multiple imputation and functional methods in the presence of measurement error and missingness in explanatory variables

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