Single and multiple imputation by random draw: A simulation study

• Main Author: Chung, Thomas Jefferson C.
• Format: text
• Language: English
• Published: Animo Repository 1988
• Subjects: Random variables; Simulation methods
• Online Access: https://animorepository.dlsu.edu.ph/etd_bachelors/16004
• Institution: De La Salle University

The study, entitled Single and Multiple Imputation by Random Draw: A Simulation Study, applies some selected imputations methods from Donald Rubin's Illustrating the Use of Multiple Imputations to Handle Nonresponse in Sample Surveys to an incomplete data, which, in itself, is generated from an authentic complete-data set. Through simulation, the study seeks to compare the completed data sets due to single and multiple imputations to the original complete-data set in order to assess which among the imputation methods considered resembles closely to the original data set, to which, standard statistical data analyses for complete data, may finally be used.