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dc.contributor.author | Ortigosa, Nuria![]() |
es_ES |
dc.contributor.author | Orellana-Panchame, Marcos![]() |
es_ES |
dc.contributor.author | Castro-Palacio, Juan Carlos![]() |
es_ES |
dc.contributor.author | Fernández de Córdoba, Pedro![]() |
es_ES |
dc.contributor.author | Isidro, J.M.![]() |
es_ES |
dc.date.accessioned | 2022-10-07T18:06:44Z | |
dc.date.available | 2022-10-07T18:06:44Z | |
dc.date.issued | 2021-06 | es_ES |
dc.identifier.uri | http://hdl.handle.net/10251/187280 | |
dc.description.abstract | [EN] Random variables in biology, social and health sciences commonly follow skewed distributions. Many of these variables can be represented by exGaussian functions; however, in practice, they are sometimes considered as Gaussian functions when statistical analysis is carried out. The asymmetry can play a fundamental role which can not be captured by central tendency estimators such as the mean. By means of Monte Carlo simulations, the effect of a small asymmetry in the generating functions of the chi distribution is studied. To this end, the k generating functions are taken as exGaussian functions. The limits of this approximation are tested numerically for the practical case of three health-related variables: one physical (body mass index) and two cognitive (verbal fluency and short-term memory). This work is in line with our previous works on a physics-inspired mathematical model to represent the reaction times of a group of individuals. | es_ES |
dc.description.sponsorship | This researchwas partially funded by grant number RTI2018-102256-B-I00 of MINECO/FEDER (Spain). N. Ortigosa acknowledges the support from Generalitat Valenciana under grant Prometeo/2017/102, and from Spanish MINECO under grant MTM2016-76647-P. | es_ES |
dc.language | Inglés | es_ES |
dc.publisher | MDPI AG | es_ES |
dc.relation.ispartof | Symmetry (Basel) | es_ES |
dc.rights | Reconocimiento (by) | es_ES |
dc.subject | Skewed distribution | es_ES |
dc.subject | Ex-gaussian | es_ES |
dc.subject | Numerical study | es_ES |
dc.subject.classification | FISICA APLICADA | es_ES |
dc.subject.classification | MATEMATICA APLICADA | es_ES |
dc.title | Monte Carlo Simulation of a Modified Chi Distribution Considering Asymmetry in the Generating Functions: Application to the Study of Health-Related Variables | es_ES |
dc.type | Artículo | es_ES |
dc.identifier.doi | 10.3390/sym13060924 | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTI2018-102256-B-I00/ES/TRANSFERENCIA DE CALOR EN FLUJOS DE PARED: CANALES Y CAPAS LIMITES/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/AGENCIA ESTATAL DE INVESTIGACION//MTM2016-76647-P//ANALISIS FUNCIONAL, TEORIA DE OPERADORES Y ANALISIS TIEMPO-FRECUENCIA/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/GENERALITAT VALENCIANA//PROMETEO%2F2017%2F102//ANALISIS FUNCIONAL, TEORIA DE OPERADORES Y APLICACIONES./ | es_ES |
dc.rights.accessRights | Abierto | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Departamento de Matemática Aplicada - Departament de Matemàtica Aplicada | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Departamento de Física Aplicada - Departament de Física Aplicada | es_ES |
dc.description.bibliographicCitation | Ortigosa, N.; Orellana-Panchame, M.; Castro-Palacio, JC.; Fernández De Córdoba, P.; Isidro, J. (2021). Monte Carlo Simulation of a Modified Chi Distribution Considering Asymmetry in the Generating Functions: Application to the Study of Health-Related Variables. Symmetry (Basel). 13(6):1-12. https://doi.org/10.3390/sym13060924 | es_ES |
dc.description.accrualMethod | S | es_ES |
dc.relation.publisherversion | https://doi.org/10.3390/sym13060924 | es_ES |
dc.description.upvformatpinicio | 1 | es_ES |
dc.description.upvformatpfin | 12 | es_ES |
dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.description.volume | 13 | es_ES |
dc.description.issue | 6 | es_ES |
dc.identifier.eissn | 2073-8994 | es_ES |
dc.relation.pasarela | S\438008 | es_ES |
dc.contributor.funder | GENERALITAT VALENCIANA | es_ES |
dc.contributor.funder | AGENCIA ESTATAL DE INVESTIGACION | es_ES |
dc.contributor.funder | European Regional Development Fund | es_ES |
upv.costeAPC | 1000 | es_ES |