A Non‐Parametric Estimation Method of the Population Size in Capture‐Recapture Experiments With Right Censored Data

ABSTRACT 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, , and the number of animals or species that have been observed and more than 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 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 is superior to censoring at .

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Publication Details

Journal
Environmetrics
Published
2025-04-01
DOI
https://doi.org/10.1002/env.70013
Primary Topic
Census and Population Estimation
Type
article
Field-Weighted Citation Impact
0.00

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article

A Non‐Parametric Estimation Method of the Population Size in Capture‐Recapture Experiments With Right Censored Data

Pedro Puig
Environmetrics
Census and Population Estimation
article

A Non‐Parametric Estimation Method of the Population Size in Capture‐Recapture Experiments With Right Censored Data

Pedro Puig
article en

Abstract

ABSTRACT 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, , and the number of animals or species that have been observed and more than 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 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 is superior to censoring at .

EnvironmetricsVol. 36(3)
Universitat Autònoma de Barcelona (ES), Centre de Recerca Matemàtica (ES)
Agencia Estatal de Investigación
Openalex Percentile: Top 93%
Census and Population Estimation
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