A non-parametric predictive model for missing data: A case of Philippine public hospitals
Organizations have an abundance of data but actually have incomplete information. Incomplete information happens when there is missing or unreliable data which can lead to wrong decisions. A predictive model was developed using Hurwicz criterion by means of linear programming (LP). This predictive m...
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| Main Authors: | , , , |
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| Format: | text |
| Published: |
Animo Repository
2022
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| Subjects: | |
| Online Access: | https://animorepository.dlsu.edu.ph/faculty_research/5598 |
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| Institution: | De La Salle University |
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