Testing homogeneity inWeibull error in variablesmodels

dc.contributor.authorValença, Dione Maria
dc.contributor.authorBolfarine, Heleno
dc.date.accessioned2020-09-23T20:10:48Z
dc.date.available2020-09-23T20:10:48Z
dc.date.issued2006
dc.description.resumoWediscusspropertiesofthescorestatisticsfortestingthenullhypothesis ofhomogeneityinaWeibullmixingmodelinwhichthegroupeffectismodelledas arandomvariableandsomeofthecovariatesaremeasuredwitherror.Thestatistics proposed are based on the corrected score approach and they require estimation onlyundertheconventionalWeibullmodelwithmeasurementerrorsanddoesnot require that the distribution of the random effect be specified. The results in this paperextendresultsinGimenez,Bolfarine,andColosimo(AnnalsoftheInstitute ofStatisticalMathematics,52,698–711,2000)forthecaseofindependentWeibull models.Asimulation study is provided.pt_BR
dc.identifier.citationVALENÇA, Dione Maria; BOLFARINE, Heleno . Testing homogeneity in Weibull error in variables models. Annals of the Institute of Statistical Mathematics , Alemanha, v. 58, n.1, p. 115-129, 2006. Disponível em: <http://www.ism.ac.jp/editsec/aism/pdf/058_1_0115.pdf>. Acesso em: 11 dez. 2017pt_BR
dc.identifier.doi10.1007
dc.identifier.urihttps://repositorio.ufrn.br/jspui/handle/123456789/30193
dc.languageengpt_BR
dc.publisherWileypt_BR
dc.rightsAcesso Abertopt_BR
dc.subjectHomogeneity testpt_BR
dc.subjectMeasurement errorspt_BR
dc.subjectCorrected scorept_BR
dc.subjectAccelerated failure time modelpt_BR
dc.titleTesting homogeneity inWeibull error in variablesmodelspt_BR
dc.typearticlept_BR

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