Imputation for Missing Data in Statistical Matching Using Goal Programming
Nearly all common statistical approaches assume complete information for all variables involved in the analysis, which making missing data problematic. Imputation is the process of substituting a missing value with a specific value, and it is most likely the most popular method for compensating for...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | Arabic |
| Published: |
Faculty of Commerce, Port Said University
2023-04-01
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| Series: | Maǧallaẗ Al-Buḥūṯ Al-Mālīyyaẗ wa Al-Tiğāriyyaẗ |
| Subjects: | |
| Online Access: | https://jsst.journals.ekb.eg/article_301688_169756e7c765a9d0d04b012faa68b36f.pdf |
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