Truncated power-normal distribution with application to non-negative measurements

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dc.contributor.authorCastillo, Nabor O.
dc.contributor.authorGallardo, Diego I.
dc.contributor.authorBolfarine, Heleno
dc.contributor.authorGómez, Héctor W.
dc.date.accessioned2024-04-22T23:08:55Z
dc.date.available2024-04-22T23:08:55Z
dc.date.issued2018
dc.description.abstractThis paper focuses on studying a truncated positive version of the power-normal (PN) modelconsidered in Durrans (1992). The truncation point is considered to be zero so that the resulting model is an extension of the half normal distribution. Some probabilistic properties are studied for the proposed model along with maximum likelihood and moments estimation. The model is fitted to two real datasets and compared with alternative models for positive data. Results indicate good performance of the proposed mode
dc.description.sponsorshipDIULS REGULAR PR12151 (Chile); CNPq-Brasil; SEMILLEROUA-2015 (Chile).
dc.identifier.doi10.3390/e20060433
dc.identifier.issn1099-4300
dc.identifier.urihttps://repositorioabierto.uantof.cl/handle/uantof/370
dc.language.isoen
dc.publisherMDPI
dc.rightsAttribution 4.0 International
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.sourceEntropy
dc.subjectmaximum likelihood
dc.subjectpower-normal distribution
dc.subjecttruncation
dc.subjectShannon entropy
dc.titleTruncated power-normal distribution with application to non-negative measurements
dc.typeArticle
oaire.citation.issue433
oaire.citation.volume20
organization.identifier.rorhttps://ror.org/04eyc6d95
organization.legalNameUniversidad de Antofagasta
uantof.identificator.departmentDepartamento de Matemáticas
uantof.identificator.facultyFacultad de Ciencias Básicas
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