Please use this identifier to cite or link to this item: https://hdl.handle.net/10216/133782
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dc.creatorRui Jorge Gonçalves
dc.date.accessioned2022-09-11T19:06:10Z-
dc.date.available2022-09-11T19:06:10Z-
dc.date.issued2019-01-01
dc.identifier.othersigarra:361147
dc.identifier.urihttps://hdl.handle.net/10216/133782-
dc.description.abstractThe Power Normal (PN) family of distributions is obtained by inverting the Box-Cox (BC) transformation over a truncated normal (TN) (or for some cases normal) random variable. In this paper we explore the PN distribution. We give a formula for the ordinary moments and considering the bivariate PN (BPN) distribution we calculate the marginal and conditional probability density functions (pdf). We prove that they are not univariate PN distributed. We also calculate the correlation curve and we fit a power law model. (c) 2019 Author(s).
dc.language.isoeng
dc.relation.ispartofAIP Conference Proceedings
dc.rightsrestrictedAccess
dc.subjectMatemática, Matemática
dc.subjectMathematics, Mathematics
dc.titleThe Power Normal distribution
dc.typeArtigo em Livro de Atas de Conferência Internacional
dc.contributor.uportoFaculdade de Engenharia
dc.identifier.doi10.1063/1.5114102
dc.subject.fosCiências exactas e naturais::Matemática
dc.subject.fosNatural sciences::Mathematics
Appears in Collections:FEUP - Artigo em Livro de Atas de Conferência Internacional

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