Trabalho de Conclusão de Curso de Especialização
A influência da variabilidade dos dados na qualidade de imputação de dados faltantes
Fecha
2019-03-26Autor
Stochero, Elisandra Lúcia Moro
Institución
Resumen
Imputation methods were developed with the purpose of defining estimates for missing
data in a database and, in this way, solving possible problems generated by the loss
of such information. In this study the objective is to evaluate if the variability of the data
influences the results obtained after applying an imputation method. From complete
real databases, from experiments conducted in the Randomized Block Design, some
with larger and others with less variability, incomplete databases were generated with
the withdrawal of different amounts of data. Subsequently, the Free Distribution
Multiple Imputation method was applied, generating complete databases from the
imputation. The results of the research confirm the importance of evaluating the
variability of data before joining the application of an imputation method to obtain
complete databases. For the data of this study, it was verified that the variability of the
same influenced in a negative way when high and in cases in which the variability was
low the imputed values are closer to the real ones. This confirms the importance of
evaluating the variability of the data before choosing to apply the imputation method.