Estimating DEA efficiency using uniform distribution
The most commonly used non-parametric tool for measuring the relative efficiency of Decision Making Units (DMU) is Data Envelopment Analysis (DEA). In this article, a method for measuring the efficiency level of a DMU when it is in an unfavourable situation as well as estimating the efficiency using...
محفوظ في:
| المؤلفون الرئيسيون: | , , , |
|---|---|
| التنسيق: | مقال |
| اللغة: | English |
| منشور في: |
Universiti Sains Malaysia
2014
|
| الموضوعات: | |
| الوصول للمادة أونلاين: | http://repo.uum.edu.my/19408/1/BMMSS%202%2037%204%202014%201075%E2%80%931083.pdf http://repo.uum.edu.my/19408/ http://math.usm.my/bulletin/html/vol37_4_13.html |
| الوسوم: |
إضافة وسم
لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!
|
| الملخص: | The most commonly used non-parametric tool for measuring the relative efficiency of Decision Making Units (DMU) is Data Envelopment Analysis (DEA). In this article, a method for measuring the efficiency level of a DMU when it is in an unfavourable situation as well as estimating the efficiency using uniform distribution is shown. The efficiency score from the traditional BCC-DEA model and the efficiency score in an unfavourable situation form an interval.This interval, known as interval efficiency, is used to estimate efficiency using uniform distribution.In an empirical example, a 95 percent confidence interval (CI) is calculated for the efficiency score using a three-point estimation method.The
analysis indicated that the efficiencies that were estimated from uniform distribution are all within the confidence interval. In addition, a statistical test shows that there is no significant different between the estimated efficiency and the efficiency from DEA. |
|---|