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العنوان
Detecting outliers in data envelopment analysis /
الناشر
Shaimaa Shaker Ahmed Elbehairy ,
المؤلف
Shaimaa Shaker Ahmed Elbehairy
تاريخ النشر
2016
عدد الصفحات
58 P. :
الفهرس
Only 14 pages are availabe for public view

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from 88

Abstract

The thesis tries to solve the problem of outlier existence in Data Envelopment Analysis data sets since DEA data sets are very sensitive to outliers existence with in the DMUs. The research tries to detect the outliers based on a statistical test for detecting the outlier units between the DMUs in the data. The method uses the super efficiency scores models and the bi-objective formula. The proposed method can detect outliers units huge data sets in simple not time consuming way