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Autores
Orientador(es)
Resumo(s)
Using 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.
Descrição
Dissertation presented as the partial requirement for obtaining a Master's degree in Statistics and Information Management, specialization in Information Analysis and Management
Palavras-chave
Optimal Level collapsing Level grouping Nominal variables Categorical variables Releveling olc
