Analysing mark-recapture-recovery data in the presence of missing covariate data via multiple imputation

DOI10.1007/s13253-014-0184-zzbMath1325.62218OpenAlexW1992234454WikidataQ59424965 ScholiaQ59424965MaRDI QIDQ894828

Stephen T. Buckland, Ruth King, Hannah Worthington

Publication date: 24 November 2015

Published in: Journal of Agricultural, Biological, and Environmental Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s13253-014-0184-z

zbMATH Keywords

multiple imputationmissing valuestwo-step algorithmindividual time-varying continuous covariatesmark-recapture-recovery data

Mathematics Subject Classification ID

Applications of statistics to environmental and related topics (62P12)

Related Items

Maximum penalized likelihood estimation in semiparametric mark-recapture-recovery models ⋮ Laplace approximations for capture-recapture models in the presence of individual heterogeneity

Uses Software

• Program MARK
• RMark
• MARK

Cites Work

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