Please use this identifier to cite or link to this item:
https://accedacris.ulpgc.es/handle/10553/120239
DC Field | Value | Language |
---|---|---|
dc.contributor.author | García–García, Victoriano | en_US |
dc.contributor.author | Martel Escobar, María Carmen | en_US |
dc.contributor.author | Vázquez Polo, Francisco José | en_US |
dc.contributor.editor | Kryven, Ivan | - |
dc.date.accessioned | 2023-01-23T08:57:28Z | - |
dc.date.available | 2023-01-23T08:57:28Z | - |
dc.date.issued | 2022 | en_US |
dc.identifier.issn | 1932-6203 | en_US |
dc.identifier.uri | https://accedacris.ulpgc.es/handle/10553/120239 | - |
dc.description.abstract | Contagious statistical distributions are a valuable resource for managing contagion by means of k–connected chains of distributions. Binomial, hypergeometric, Pólya, uniform distributions with the same values for all parameters except sample size n are known to be strongly associated. This paper describes how the relationship can be obtained via factorial moments, simplifying the process by including novel elements. We describe the properties of these distributions and provide examples of their real–world application, and then define a chain of k–connected distributions, which generalises the relationship among samples of any size for a given population and the Pólya urn model. | en_US |
dc.language | eng | en_US |
dc.relation.ispartof | PLoS ONE | en_US |
dc.source | Plos one, 17(5), e0268810. | en_US |
dc.subject | 5302 Econometría | en_US |
dc.subject | 531207 Sanidad | en_US |
dc.subject.other | Communicable Diseases | en_US |
dc.subject.other | Humans | en_US |
dc.subject.other | Poly A | en_US |
dc.subject.other | Sample Size | en_US |
dc.subject.other | Statistical Distributions | en_US |
dc.title | Contagious statistical distributions: kconnections and applications in infectious disease environments | en_US |
dc.type | info:eu-repo/semantics/article | en_US |
dc.identifier.doi | 10.1371/journal.pone.0268810 | en_US |
dc.identifier.pmid | 35622844 | - |
dc.identifier.scopus | 2-s2.0-85130963810 | - |
dc.contributor.orcid | #NODATA# | - |
dc.contributor.orcid | #NODATA# | - |
dc.contributor.orcid | #NODATA# | - |
dc.identifier.issue | 5 May | - |
dc.investigacion | Ciencias Sociales y Jurídicas | en_US |
dc.type2 | Artículo | en_US |
dc.utils.revision | Sí | en_US |
dc.contributor.wosstandard | Kryven, Ivan | - |
dc.contributor.wosstandard | Kryven, Ivan | - |
dc.contributor.wosstandard | Kryven, Ivan | - |
dc.contributor.wosstandard | Kryven, Ivan | - |
dc.contributor.wosstandard | Kryven, Ivan | - |
dc.contributor.wosstandard | Kryven, Ivan | - |
dc.contributor.wosstandard | Kryven, Ivan | - |
dc.contributor.wosstandard | Kryven, Ivan | - |
dc.identifier.ulpgc | Sí | en_US |
dc.contributor.buulpgc | BU-ECO | en_US |
dc.description.sjr | 0,885 | |
dc.description.jcr | 3,7 | |
dc.description.sjrq | Q1 | |
dc.description.jcrq | Q2 | |
dc.description.scie | SCIE | |
dc.description.miaricds | 10,7 | |
dc.description.erihplus | ERIH PLUS | |
item.fulltext | Con texto completo | - |
item.grantfulltext | open | - |
crisitem.author.dept | GIR TIDES- Técnicas estadísticas bayesianas y de decisión en la economía y empresa | - |
crisitem.author.dept | IU de Turismo y Desarrollo Económico Sostenible | - |
crisitem.author.dept | Departamento de Métodos Cuantitativos en Economía y Gestión | - |
crisitem.author.dept | GIR TIDES- Técnicas estadísticas bayesianas y de decisión en la economía y empresa | - |
crisitem.author.dept | IU de Turismo y Desarrollo Económico Sostenible | - |
crisitem.author.dept | Departamento de Métodos Cuantitativos en Economía y Gestión | - |
crisitem.author.orcid | 0000-0002-7013-4747 | - |
crisitem.author.orcid | 0000-0002-0632-6138 | - |
crisitem.author.parentorg | IU de Turismo y Desarrollo Económico Sostenible | - |
crisitem.author.parentorg | IU de Turismo y Desarrollo Económico Sostenible | - |
crisitem.author.fullName | Martel Escobar, María Carmen | - |
crisitem.author.fullName | Vázquez Polo, Francisco José | - |
Appears in Collections: | Artículos |
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