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Optimal level collapsing: olc - A tool for modelling in R

dc.contributor.advisorMendes, Jorge Morais
dc.contributor.authorMattos, Acácio Luis Ramalho
dc.date.accessioned2022-01-04T18:13:48Z
dc.date.available2022-01-04T18:13:48Z
dc.date.issued2021-12-13
dc.descriptionDissertation presented as the partial requirement for obtaining a Master's degree in Statistics and Information Management, specialization in Information Analysis and Managementpt_PT
dc.description.abstractUsing nominal variables with many levels as predictors in statistical modelling can be a difficult task. Ways to group the levels of such variables optimally becomes of special interest. In this work we propose a procedure and a tool implemented in R language to deal with this type of situation, in order to create an optimally-recategorized variable to modelling or simply for descriptive purposes. An example with a real data in Insurance environment will be conducted to illustrate the performance, as well the advantages and disadvantages.pt_PT
dc.identifier.tid202839311pt_PT
dc.identifier.urihttp://hdl.handle.net/10362/130221
dc.language.isoengpt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectOptimal Level collapsingpt_PT
dc.subjectLevel groupingpt_PT
dc.subjectNominal variablespt_PT
dc.subjectCategorical variablespt_PT
dc.subjectRelevelingpt_PT
dc.subjectolcpt_PT
dc.titleOptimal level collapsing: olc - A tool for modelling in Rpt_PT
dc.typemaster thesis
dspace.entity.typePublication
rcaap.rightsopenAccesspt_PT
rcaap.typemasterThesispt_PT
thesis.degree.nameMestrado em Estatística e Gestão de Informação, especialização em Análise e Gestão de Informaçãopt_PT

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