A new heteroscedastic regression to analyze mass loss of wood in civil construction in Brazil

dc.contributorUniversidade de São Paulo (USP)
dc.contributorUniversidade Estadual Paulista (Unesp)
dc.contributorUniversidade Federal de Pernambuco (UFPE)
dc.contributorUniversidade Federal de Itajubá
dc.date.accessioned2021-06-25T10:23:45Z
dc.date.accessioned2022-12-19T22:10:46Z
dc.date.available2021-06-25T10:23:45Z
dc.date.available2022-12-19T22:10:46Z
dc.date.created2021-06-25T10:23:45Z
dc.date.issued2021-01-01
dc.identifierJournal of Applied Statistics.
dc.identifier1360-0532
dc.identifier0266-4763
dc.identifierhttp://hdl.handle.net/11449/205927
dc.identifier10.1080/02664763.2021.1890001
dc.identifier2-s2.0-85101255938
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/5386524
dc.description.abstractA heteroscedastic regression based on the odd log-logistic Marshall–Olkin normal (OLLMON) distribution is defined by extending previous models. Some structural properties of this distribution are presented. The estimation of the parameters is addressed by maximum likelihood. For different parameter settings, sample sizes and some scenarios, various simulations investigate the performance of the heteroscedastic OLLMON regression. We use residual analysis to detect influential observations and to check the model assumptions. The new regression explains the mass loss of different wood species in civil construction in Brazil.
dc.languageeng
dc.relationJournal of Applied Statistics
dc.sourceScopus
dc.subjectCarbonization in building
dc.subjectheteroscedastic regression
dc.subjectlignocellulosic mass loss
dc.subjectMarshall–Olkin family
dc.subjectregression model
dc.titleA new heteroscedastic regression to analyze mass loss of wood in civil construction in Brazil
dc.typeArtículos de revistas


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