Estimating DEA efficiency using uniform distribution
The most commonly used non-parametric tool for measuring the relative effi-ciency 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 usin...
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Bulletin of the Malaysian Mathematical Sciences Society , Malaysian Mathematical Sciences Society, Universiti Sains Malaysia, Springer
2014
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oai:www.myjurnal.my:841982018-09-20T00:00:00Z Estimating DEA efficiency using uniform distribution Nur Munawwarah Mathematics & statistics The most commonly used non-parametric tool for measuring the relative effi-ciency 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. Bulletin of the Malaysian Mathematical Sciences Society , Malaysian Mathematical Sciences Society, Universiti Sains Malaysia, Springer Md. Kamrul Hossain 2014-00-00 Journal application/pdf 84198 www.myjurnal.my/filebank/published_article/3484713.pdf www.myjurnal.my/public/article-view.php?id=84198 |
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Mathematics & statistics |
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Mathematics & statistics Nur Munawwarah Estimating DEA efficiency using uniform distribution |
| description |
The most commonly used non-parametric tool for measuring the relative effi-ciency 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. |
| author2 |
Md. Kamrul Hossain |
| author_facet |
Md. Kamrul Hossain Nur Munawwarah |
| format |
Journal |
| author |
Nur Munawwarah |
| author_sort |
Nur Munawwarah |
| title |
Estimating DEA efficiency using uniform distribution |
| title_short |
Estimating DEA efficiency using uniform distribution |
| title_full |
Estimating DEA efficiency using uniform distribution |
| title_fullStr |
Estimating DEA efficiency using uniform distribution |
| title_full_unstemmed |
Estimating DEA efficiency using uniform distribution |
| title_sort |
estimating dea efficiency using uniform distribution |
| publisher |
Bulletin of the Malaysian Mathematical Sciences Society , Malaysian Mathematical Sciences Society, Universiti Sains Malaysia, Springer |
| publishDate |
2014 |
| url |
http://www.myjurnal.my/public/article-view.php?id=84198 |
| first_indexed |
2018-09-20T12:03:32Z |
| last_indexed |
2018-09-20T12:03:32Z |
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1612235411858391040 |