An Application of Linear Programming Discriminated Analysis for Classification | ||||
| التجارة والتمويل | ||||
| Article 14, Volume 42, Issue 2, June 2022, Page 89-105 PDF (2.17 MB) | ||||
| DOI: 10.21608/caf.2022.246309 | ||||
 View on SCiNiTO | ||||
| Authors | ||||
maie kamel 1; Hanaa Salem2; Waleed Abdelgawad Abdelgawad3
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| 1Faculty of commerce, Tanta University | ||||
| 2کلية التجارة جامعة طنطا | ||||
| 3تاهيلي دکتوراه قسم الاحصاء کلية التجارة جامعة طنطا | ||||
| Abstract | ||||
| The goal of this study is to compare linear discrimination analysis and discriminated analysis with linear programming (MMD) (Min. Sum of Deviation) in order to find the best model for classifying observations into their correct groups with the lowest possible classification error and highest classification accuracy. According to the findings of the study, discriminated analysis using linear programming differs from linear discriminated analysis in data classification because it produces the lowest error rate and the highest classification accuracy rate, and it does not require the linear discriminated analysis assumptions. | ||||
| Keywords | ||||
| Discriminated analysis; discriminated analysis using mathematical programming; corporate bankruptcy; data classification | ||||
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