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Percentile Study of Chi Distribution. Application to Response Time Data

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Percentile Study of Chi Distribution. Application to Response Time Data

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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.contributor.author Navarro-Pardo, Esperanza es_ES
dc.contributor.author Selvas Aguilar, Romeo es_ES
dc.date.accessioned 2021-09-10T03:30:53Z
dc.date.available 2021-09-10T03:30:53Z
dc.date.issued 2020-04 es_ES
dc.identifier.uri http://hdl.handle.net/10251/171998
dc.description.abstract [EN] As a continuation of our previous work, where a Maxwell-Boltzmann distribution was found to model a collective's reaction times, in this work we will carry out a percentile study of the Chi distribution for some freedom ranging from k = 2 to k = 10. The most commonly used percentiles in the biomedical and behavioral sciences have been included in the analysis. We seek to provide a look-up table with percentile ratios, taken symmetrically about the median, such that this distribution can be identified in practice in an easy way. We have proven that these ratios do not depend upon the variance chosen for the k generating Gaussians. In general, the Chi probability density, generalized to take any value of the variance, represents an ideal gas in a k-dimensional space. We also derive an approximate expression for the median of the generalized Chi distribution. In the second part of the results, we will focus on the practical case of k = 3, which represents the ideal gas in physics, and models quite well the reaction times of a human collective. Accurately, we will perform a more detailed scrutiny of the percentiles for the reaction time distribution of a sample of 50 school-aged children (7200 reaction times). es_ES
dc.description.sponsorship This research was supported by grant no. RTI2018-102256-B-I00 (Spain). es_ES
dc.language Inglés es_ES
dc.publisher MDPI AG es_ES
dc.relation.ispartof Mathematics es_ES
dc.rights Reconocimiento (by) es_ES
dc.subject Chi distribution es_ES
dc.subject Ideal gas model es_ES
dc.subject Maxwell-Boltzmann distribution es_ES
dc.subject Response times es_ES
dc.subject.classification MATEMATICA APLICADA es_ES
dc.subject.classification FISICA APLICADA es_ES
dc.title Percentile Study of Chi Distribution. Application to Response Time Data es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.3390/math8040514 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.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.contributor.affiliation Universitat Politècnica de València. Instituto Universitario de Matemática Pura y Aplicada - Institut Universitari de Matemàtica Pura i Aplicada es_ES
dc.description.bibliographicCitation Castro-Palacio, JC.; Fernández De Córdoba, P.; Isidro, J.; Navarro-Pardo, E.; Selvas Aguilar, R. (2020). Percentile Study of Chi Distribution. Application to Response Time Data. Mathematics. 8(4):1-7. https://doi.org/10.3390/math8040514 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.3390/math8040514 es_ES
dc.description.upvformatpinicio 1 es_ES
dc.description.upvformatpfin 7 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 8 es_ES
dc.description.issue 4 es_ES
dc.identifier.eissn 2227-7390 es_ES
dc.relation.pasarela S\406901 es_ES
dc.contributor.funder AGENCIA ESTATAL DE INVESTIGACION es_ES
dc.description.references Hernaiz-Guijarro, M., Castro-Palacio, J. C., Navarro-Pardo, E., Isidro, J. M., & Fernández-de-Córdoba, P. (2019). A Probabilistic Classification Procedure Based on Response Time Analysis Towards a Quick Pre-Diagnosis of Student’s Attention Deficit. Mathematics, 7(5), 473. doi:10.3390/math7050473 es_ES
dc.description.references Levenberg, K. (1944). A method for the solution of certain non-linear problems in least squares. Quarterly of Applied Mathematics, 2(2), 164-168. doi:10.1090/qam/10666 es_ES
dc.description.references Marquardt, D. W. (1963). An Algorithm for Least-Squares Estimation of Nonlinear Parameters. Journal of the Society for Industrial and Applied Mathematics, 11(2), 431-441. doi:10.1137/0111030 es_ES
dc.description.references World Medical Association Declaration of Helsinki. (2013). JAMA, 310(20), 2191. doi:10.1001/jama.2013.281053 es_ES


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