Imputation techniques for non-ordered categorical missing data
Philosophiae Doctor - PhD === Missing data are common in survey data sets. Enrolled subjects do not often have data recorded for all variables of interest. The inappropriate handling of missing data may lead to bias in the estimates and incorrect inferences. Therefore, special attention is needed w...
| Main Author: | |
|---|---|
| Other Authors: | |
| Language: | en |
| Published: |
University of the Western Cape
2016
|
| Subjects: | |
| Online Access: | http://hdl.handle.net/11394/5061 |