Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Recolector de Cienci...arrow_drop_down
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
versions View all 1 versions
addClaim

How many dolphins are in Sepetiba Bay? A review on non-parametric capture-recapture methods

Authors: Puig, Pere;

How many dolphins are in Sepetiba Bay? A review on non-parametric capture-recapture methods

Abstract

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

Keywords

http://metadata.un.org/sdg/14, Conserve and sustainably use the oceans, seas and marine resources for sustainable development

  • BIP!
    Impact byBIP!
    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
    OpenAIRE UsageCounts
    Usage byUsageCounts
    visibility views 53
    download downloads 2
  • 53
    views
    2
    downloads
    Powered byOpenAIRE UsageCounts
Powered by OpenAIRE graph
Found an issue? Give us feedback
visibility
download
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).
BIP!Citations provided by BIP!
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.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
OpenAIRE UsageCountsDownloads provided by UsageCounts
0
Average
Average
Average
53
2
Green