Publicación:
REPARAMETERIZED SCALE MIXTURE OF RAYLEIGH DISTRIBUTION REGRESSION MODELS WITH VARYING PRECISION

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dc.creatorDIEGO IGNACIO GALLARDO MATELUNA
dc.date2024
dc.date.accessioned2025-01-10T15:52:12Z
dc.date.available2025-01-10T15:52:12Z
dc.date.issued2024
dc.description.abstractIN THIS PAPER, WE INTRODUCE A NEW PARAMETERIZATION FOR THE SCALE MIXTURE OF THE RAYLEIGH DISTRIBUTION, WHICH USES A MEAN LINEAR REGRESSION MODEL INDEXED BY MEAN AND PRECISION PARAMETERS TO MODEL ASYMMETRIC POSITIVE REAL DATA. TO TEST THE GOODNESS OF FIT, WE INTRODUCE TWO RESIDUALS FOR THE NEW MODEL. A MONTE CARLO SIMULATION STUDY IS PERFORMED TO EVALUATE THE PARAMETER ESTIMATION OF THE PROPOSED MODEL. WE COMPARE OUR PROPOSED MODEL WITH EXISTING ALTERNATIVES AND ILLUSTRATE ITS ADVANTAGES AND USEFULNESS USING GILGAIS DATA IN R SOFTWARE VERSION 4.2.3 WITH THE GAMLSS PACKAGE.
dc.formatapplication/pdf
dc.identifier.doi10.3390/math12131982
dc.identifier.issn2227-7390
dc.identifier.urihttps://repositorio.ubiobio.cl/handle/123456789/14034
dc.languagespa
dc.publisherMATHEMATICS
dc.relation.uri10.3390/math12131982
dc.rightsPUBLICADA
dc.subjectscale mixture of Rayleigh distribution
dc.subjectresiduals
dc.subjectregression models
dc.subjectmaximum likelihood estimator
dc.titleREPARAMETERIZED SCALE MIXTURE OF RAYLEIGH DISTRIBUTION REGRESSION MODELS WITH VARYING PRECISION
dc.typeARTÍCULO
dspace.entity.typePublication
ubb.EstadoPUBLICADA
ubb.Otra ReparticionDEPARTAMENTO DE ESTADISTICA
ubb.SedeCONCEPCIÓN
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