A Review of the Use of Conditional Likelihood in Capture-Recapture Experiments

DOI10.1111/j.1751-5823.2011.00157.xzbMath1238.62081OpenAlexW1527483304MaRDI QIDQ2889636

Wen-Han Hwang, Richard M. Huggins

Publication date: 8 June 2012

Published in: International Statistical Review (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/j.1751-5823.2011.00157.x

zbMATH Keywords

generalized linear modelsHorvitz-Thompson

Mathematics Subject Classification ID

Point estimation (62F10) Generalized linear models (logistic models) (62J12) Sampling theory, sample surveys (62D05)

Related Items (6)

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 ⋮ Performance of confidence intervals for the population size in capture–recapture experiment under inverse sampling with replacement ⋮ Bayesian dual systems population estimation for small domains ⋮ Abundance estimation based on optimal estimating function with missing covariates in capture-recapture studies ⋮ Laplace approximations for capture-recapture models in the presence of individual heterogeneity

Uses Software

• VGAM
• CARE1
• gamair
• Rcapture

Cites Work

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