Downloads provided by UsageCounts
handle: 10261/338587
Capture-recapture methods in ecology are a set of statistical techniques used to estimate the size of a population of animals or plants in the wild. These methods are especially useful when it is difficult or impossible to count every individual in a population directly. We review several of these techniques, focusing on the non-parametric estimator of Chao. The main principle behind Chao’s estimator is to utilise the number of individuals observed only once (singletons) and the number of individuals observed exactly twice (doubletons) to estimate the total number of individuals in the population. Several recently introduced non-parametric estimators that improve various aspects of Chao’s estimator are proposed. Further details can be found in: • Chao, A.. Nonparametric estimation of the number of classes in a population. Scandinavian Journal of Statistics, 11, 265-270 (1984); • Jim´enez-Gamero, M.D. and Puig, P. A nonparametric method of estimation of the population size in capture–recapture experiments. Biometrical Journal, 2(4), 970-988 (2020); • Puig, P. and Kokonendji, C.C.. Non-parametric Estimation of the Number of Zeros in Truncated Count Distributions. Scandinavian Journal of Statistics, 45, 347-365 (2018)
ICM-CRM Meeting 2023, New Bridges between Marine Sciences and Mathematics, 2-10 November 2023.-- 01:36:20 How many fishes are in Sepetiba Bay? - Pere Puig
Peer reviewed
http://metadata.un.org/sdg/14, Conserve and sustainably use the oceans, seas and marine resources for sustainable development
http://metadata.un.org/sdg/14, Conserve and sustainably use the oceans, seas and marine resources for sustainable development
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
| views | 53 | |
| downloads | 2 |

Views provided by UsageCounts
Downloads provided by UsageCounts