Heterogeneous Capture-Recapture Models with Covariates: A Partial Likelihood Approach for Closed Populations

DOI10.1111/j.1541-0420.2011.01596.xzbMath1274.62879OpenAlexW2070744649WikidataQ44741507 ScholiaQ44741507MaRDI QIDQ2893435

Wen-Han Hwang, Sheng-Hai Wu, Jakub Stoklosa, Richard M. Huggins

Publication date: 20 June 2012

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/j.1541-0420.2011.01596.x

zbMATH Keywords

simulationextrapolationgeneralized linear mixed modelsgeneralized additive modelsclosed population

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Estimation in survival analysis and censored data (62N02)

Related Items (6)

A Review of the Use of Conditional Likelihood in Capture-Recapture Experiments ⋮ On quadratic logistic regression models when predictor variables are subject to measurement error ⋮ 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 ⋮ Likelihood ratio confidence interval for the abundance under binomial detectability models ⋮ Laplace approximations for capture-recapture models in the presence of individual heterogeneity

Uses Software

• R
• gamair

Cites Work

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• Estimating population sizes for capture-recapture sampling with binomial mixtures
• A measurement error model for heterogeneous capture probabilities in mark-recapture experiments: an estimating equation approach
• Mixture models for capture-recapture count data
• Parametric and Semiparametric Models for Recapture and Removal Studies: A Likelihood Approach
• Continuous Covariates in Mark-Recapture-Recovery Analysis: A Comparison of Methods
• A Unified Parametric Regression Model for Recapture Studies with Random Removals in Continuous Time
• Mixture Models for Estimating the Size of a Closed Population When Capture Rates Vary among Individuals
• The Use of Auxiliary Variables in Capture-Recapture and Removal Experiments
• Open Capture‐Recapture Models with Heterogeneity: I. Cormack‐Jolly‐Seber Model
• Estimation in Capture‐Recapture Models When Covariates Are Subject to Measurement Errors
• Nonidentifiability of Population Size from Capture‐Recapture Data with Heterogeneous Detection Probabilities
• A New Method for Analysing Discrete Life History Data with Missing Covariate Values
• On the statistical analysis of capture experiments
• Inference for capture-recapture experiments in continuous time with variable capture rates
• Partial likelihood
• Mixed-Effects Models in S and S-PLUS
• The Use of Mixed Logit Models to Reflect Heterogeneity in Capture‐Recapture Studies
• Unified Maximum Likelihood Estimates for Closed Capture–Recapture Models Using Mixtures
• Approximate Inference in Generalized Linear Mixed Models
• The use of auxiliary variables in capture-recapture modelling: An overview
• An Extension of the Cormack–Jolly–Seber Model for Continuous Covariates with Application to Microtus pennsylvanicus
• Measurement Error in Nonlinear Models
• Estimating the Size of a Multinomial Population
• Maximum likelihood estimation for generalized power series distributions and its application to a truncated binomial distribution

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