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| Format: | Artículo Open Access |
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Wiley
2025
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| Online Access: | https://onlinelibrary.wiley.com/doi/10.1002/env.70013 |
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| _version_ | 1867014034543345664 |
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| author | Anabel Blasco‐Moreno Pedro Puig |
| author_facet | Anabel Blasco‐Moreno Pedro Puig Anabel Blasco‐Moreno Pedro Puig |
| collection | Wiley Open Access |
| contents | A Non‐Parametric Estimation Method of the Population Size in Capture‐Recapture Experiments With Right Censored Data Anabel Blasco‐Moreno Pedro Puig Environmetrics ABSTRACTWe 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 . 10.1002/env.70013 http://creativecommons.org/licenses/by-nc/4.0/ |
| doi_str_mv | 10.1002/env.70013 |
| format | Artículo Open Access |
| id | wiley_oa_10_1002_env_70013 |
| institution | Wiley Open Access |
| license_str_mv | http://creativecommons.org/licenses/by-nc/4.0/ |
| publishDate | 2025 |
| publisher | Wiley |
| record_format | wiley_oa |
| spellingShingle | A Non‐Parametric Estimation Method of the Population Size in Capture‐Recapture Experiments With Right Censored Data Anabel Blasco‐Moreno Pedro Puig Environmetrics A Non‐Parametric Estimation Method of the Population Size in Capture‐Recapture Experiments With Right Censored Data Anabel Blasco‐Moreno Pedro Puig Environmetrics ABSTRACTWe 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 . 10.1002/env.70013 http://creativecommons.org/licenses/by-nc/4.0/ |
| title | A Non‐Parametric Estimation Method of the Population Size in Capture‐Recapture Experiments With Right Censored Data |
| topic | Environmetrics |
| url | https://onlinelibrary.wiley.com/doi/10.1002/env.70013 |