Optimal level collapsing: olc - A tool for modelling in R
2021
Online
unknown
Zugriff:
Dissertation presented as the partial requirement for obtaining a Master's degree in Statistics and Information Management, specialization in Information Analysis and Management
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.
Titel: |
Optimal level collapsing: olc - A tool for modelling in R
|
---|---|
Autor/in / Beteiligte Person: | Mattos, Acácio Luis Ramalho ; Mendes, Jorge Morais ; RUN |
Link: | |
Veröffentlichung: | 2021 |
Medientyp: | unknown |
Schlagwort: |
|
Sonstiges: |
|