Mixture models for capture-recapture count data

DOI10.1007/BF02511573zbMath1089.62126OpenAlexW2094849101MaRDI QIDQ2493250

Ronny Kuhnert, Ekkehart Dietz, Dieter Schön, Dankmar Boehning

Publication date: 12 June 2006

Published in: Statistical Methods and Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/bf02511573

zbMATH Keywords

finite mixture modelscounting distribution modelHorvitz-Thompson approachtruncated count distribution

Mathematics Subject Classification ID

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

Related Items (14)

Least-squares estimation of a convex discrete distribution ⋮ A Review of the Use of Conditional Likelihood in Capture-Recapture Experiments ⋮ Capture-recapture analysis with a latent class model allowing for local dependence and observed heterogeneity ⋮ Heterogeneous Capture-Recapture Models with Covariates: A Partial Likelihood Approach for Closed Populations ⋮ Uncertainty estimation in heterogeneous capture–recapture count data ⋮ Population size estimation based upon ratios of recapture probabilities ⋮ An extension of an over-dispersion test for count data ⋮ Bayesian Truncated Poisson Regression with Application to Dutch Illegal Immigrant Data ⋮ Population size estimation and heterogeneity in capture-recapture data: a linear regression estimator based on the Conway-Maxwell-Poisson distribution ⋮ A latent variable regression model for capture-recapture data ⋮ Estimating the hidden number of scrapie affected holdings in Great Britain using a simple, truncated count model allowing for heterogeneity ⋮ A simple variance formula for population size estimators by conditioning ⋮ Advances in Permutation Tests for Covariates in a Mixture Model for Preference Data Analysis ⋮ Editorial: Advances in mixture models

Uses Software

• REGAL

Cites Work

• Tests and diagnostics for heterogeneity in the species problem
• Fitting of mixtures with unspecified number of components using cross validation distance estimate
• On estimation of the Poisson parameter in zero-modified Poisson models.
• Estimating the Number of Species in a Stochastic Abundance Model
• Mixture Models for Estimating the Size of a Closed Population When Capture Rates Vary among Individuals
• Estimating Population Size for Sparse Data in Capture-Recapture Experiments
• Point and interval estimation of the population size using the truncated Poisson regression model
• A Unified Treatment of Integer Parameter Models
• Estimating the Size of a Truncated Sample
• Capture-recapture estimation with samples of size one using frequency data
• Estimating the Complete Sample Size from an Incomplete Poisson Sample
• Nonparametric Maximum Likelihood Estimation of a Mixing Distribution
• Nonparametric MLE under Two Closed Capture-Recapture Models with Heterogeneity
• Inference concerning the size of the zero class from an incomplete poisson sample
• Unified Maximum Likelihood Estimates for Closed Capture–Recapture Models Using Mixtures
• On a Method of Estimating Birth and Death Rates and the Extent of Registration
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