| Article ID | Journal | Published Year | Pages | File Type | 
|---|---|---|---|---|
| 9506776 | Applied Mathematics and Computation | 2005 | 13 Pages | 
Abstract
												One of the most difficult problems confronting investigators who analyze data from surveys is how to treat missing data. Many statistical procedures cannot be used immediately if any values are missing. Imputation of missing data before starting statistical analysis is then necessary. This paper proposes imputation methods of the mean based on indirect estimators of available cases. A complete simulation study was performed to test the proposed techniques.
											Keywords
												
											Related Topics
												
													Physical Sciences and Engineering
													Mathematics
													Applied Mathematics
												
											Authors
												M.M. Rueda, S. González, A. Arcos, 
											