Mdscore: an R package to compute improved score tests in generalized linear models

dc.contributor.authorSilva-Júnior, Antonio Hermes M. da
dc.contributor.authorSilva, Damião Nóbrega da
dc.contributor.authorFerrari, Silvia L. P.
dc.date.accessioned2019-05-17T12:57:59Z
dc.date.available2019-05-17T12:57:59Z
dc.date.issued2014-10
dc.description.resumoImproved score tests are modifications of the score test such that the null distribution of the modified test statistic is better approximated by the chi-squared distribution. The literature includes theoretical and empirical evidence favoring the improved test over its unmodified version. However, the developed methodology seems to have been overlooked by data analysts in practice, possibly because of the difficulties associated with the computationofthemodifiedtest. Inthisarticle, wedescribethemdscorepackagetocompute improved score tests in generalized linear models, given a fitted model by theglm() function inR. The package is suitable for applied statistics and simulation experiments. Examples based on real and simulated data are discussed.pt_BR
dc.identifier.citationSILVA-JUNIOR, Antonio Hermes M. da; SILVA, Damião Nóbrega da; FERRARI, Silvia L. P. Mdscore: an R package to compute improved score tests in generalized linear models. Journal of statistical software , v. 61, p. 1-16, 2014. Disponível em: <https://www.jstatsoft.org/article/view/v061c02>. Acesso em: 05 dez. 2017.pt_BR
dc.identifier.issn1548-7660
dc.identifier.urihttps://repositorio.ufrn.br/jspui/handle/123456789/27092
dc.languagept_BRpt_BR
dc.publisherFoundation for Open Access Statisticspt_BR
dc.rightsAcesso Abertopt_BR
dc.subjectAsymptotic testpt_BR
dc.subjectBartlett-type correctionpt_BR
dc.subjectChi-square distributionpt_BR
dc.subjectLagrange multiplier testpt_BR
dc.subjectR package - improved score testspt_BR
dc.titleMdscore: an R package to compute improved score tests in generalized linear modelspt_BR
dc.typearticlept_BR

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