Single and multiple imputation by random draw: A simulation study
Date of Publication
1988
Document Type
Bachelor's Thesis
Degree Name
Bachelor of Science in Applied Mathematics
College
College of Science
Department/Unit
Mathematics and Statistics
Abstract/Summary
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.
Abstract Format
html
Language
English
Format
Accession Number
TU05771
Shelf Location
Archives, The Learning Commons, 12F Henry Sy Sr. Hall
Physical Description
32 leaves
Keywords
Random variables; Simulation methods
Recommended Citation
Chung, T. C. (1988). Single and multiple imputation by random draw: A simulation study. Retrieved from https://animorepository.dlsu.edu.ph/etd_bachelors/16004
