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|3 10.21608/caf.2022.246309
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|a eng
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044 |
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|b مصر
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100 |
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|a كامل، مي محمد
|g Kamel, Maie M.
|e مؤلف
|9 678592
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245 |
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|a An Application of Linear Programming Discriminated Analysis for Classification
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260 |
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|b جامعة طنطا - كلية التجارة
|c 2022
|g يونيو
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300 |
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|a 89 - 105
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336 |
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|a بحوث ومقالات
|b Article
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|b 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.
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653 |
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|a علم الإحصاء
|a التميز الخطي
|a البرمجة الخطية
|a الإحصاء التطبيقي
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692 |
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|b Discriminated Analysis
|b Discriminated Analysis Using Mathematical Programming
|b Corporate Bankruptcy
|b Data Classification
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700 |
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|a سالم، هناء عبدالرحيم
|g Salem, Hanaa Abd El-Reheem
|e م. مشارك
|9 678595
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700 |
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|a عبدالجواد، وليد
|g Abdelgawad, Waleed
|e م. مشارك
|9 688476
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773 |
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|4 الاقتصاد
|4 إدارة الأعمال
|6 Business
|6 Management
|c 014
|f Al-Tiǧāraẗ wa Al-Tamwīl
|l 002
|m ع2
|o 1025
|s مجلة التجارة والتمويل
|t Journal of Trade and Financing
|v 042
|x 1110-4716
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856 |
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|u 1025-042-002-014.pdf
|n https://caf.journals.ekb.eg/article_246309.html
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|d y
|p y
|q n
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|a EcoLink
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|c 1296877
|d 1296877
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