Point and Interval Estimation of the Population Size Using a Zero‐Truncated Negative Binomial Regression Model

DOI10.1002/bimj.200810455zbMath1442.62322OpenAlexW2144813136WikidataQ45750701 ScholiaQ45750701MaRDI QIDQ5123138

Peter G. M. van der Heijden, Maarten J. L. F. Cruyff

Publication date: 25 September 2020

Published in: Biometrical Journal (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/bimj.200810455

zbMATH Keywords

Poisson regressioncapture-recapturenegative binomial regressionpopulation size estimationHorvitz-Thompson estimatorszero-truncated count data

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10)

Related Items (7)

Bayesian analysis of one‐inflated models for elusive population size estimation ⋮ Modelling Population Size Using Horvitz-Thompson Approach Based on the Zero-Truncated Poisson Lindley Distribution ⋮ Power series mixtures and the ratio plot with applications to zero-truncated count distribution modelling ⋮ A latent variable regression model for capture-recapture data ⋮ Estimating the size of a hidden finite set: large-sample behavior of estimators ⋮ Sensitivity analysis and calibration of population size estimates obtained with the zero-truncated Poisson regression model ⋮ Right-censored mixed Poisson count models with detection times

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