Multiple Imputations, tool for the estimation of missing data in regression modeling

In recent years there has been an increase in research on missing data problems, with multiple imputation being a fundamental alternative; where data sets often present complexities that are currently difficult to manage appropriately in the probability framework, but relatively simple to deal with...

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Bibliographic Details
Main Authors: Luis Miguel Mejía-Giraldo, Luis Fernando Restrepo-Betancur
Format: Article
Language:Spanish
Published: Universidad de Córdoba 2019-01-01
Series:Temas Agrarios
Subjects:
Online Access:https://revistas.unicordoba.edu.co/index.php/temasagrarios/article/view/1780