A Non-Parametric Estimation Method of the PopulationSize in Capture-Recapture Experiments With RightCensored Data

Autor/a

Blasco-Moreno, A.

Puig, P.

Fecha de publicación

2025-04-02



Resumen

We present a new non-parametric approach for estimating the total number of animals or species when we only have information on the number of animals or species that have been observed once, twice, (Formula presented.), and the number of animals or species that have been observed (Formula presented.) and more than (Formula presented.) times. The approach, like the Chao estimator, gives a lower bound on population size while also providing bootstrap confidence intervals. We conducted simulations to compare our estimator to other competing ones in special scenarios with (Formula presented.) and 3 and found that it performed quite well. In the case of uncensored samples, we analyze which censoring point is preferable in specific examples, as well as when censoring at (Formula presented.) is superior to censoring at (Formula presented.).

Tipo de documento

Artículo

Versión del documento

Versión publicada

Lengua

Inglés

Materias CDU

51 - Matemáticas

Palabras clave

Abundance data; Censored data; Chao's estimator; Incidence data; Mixed-binomial distributions; Mixed-Poisson distributions

Páginas

11 p.

Publicado por

John Wiley and Sons

Es versión de

Environmetrics

Documentos

A Non‐Parametric Estimation Method of the Population Size in Capture‐Recapture.pdf

1.941Mb

 

Derechos

Attribution-NonCommercial 4.0 International

Attribution-NonCommercial 4.0 International

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