Estimating DEA Efficiency Using Uniform Distribution

被引：0

作者：

Hossain, Md Kamrul ^{[1
]}

Kamil, Anton Abdulbasah ^{[1
]}

Mustafa, Adli ^{[2
]}

Baten, Md Azizul ^{[3
]}

机构：

[1] Univ Sains Malaysia, Sch Distance Educ, George Town 11800, Malaysia

[2] Univ Sains Malaysia, Sch Math Sci, George Town 11800, Malaysia

[3] Univ Utara Malaysia, Sch Quantitat Sci, Dept Decis Sci, Sintok 01610, Kent, Malaysia

来源：

BULLETIN OF THE MALAYSIAN MATHEMATICAL SCIENCES SOCIETY | 2014年 / 37卷 / 04期

关键词：

Interval efficiency; data envelopment analysis; uniform distribution; three-point estimation; DATA ENVELOPMENT ANALYSIS; NONPARAMETRIC FRONTIER MODELS; DECISION-MAKING UNITS; IMPRECISE DATA; PRODUCTIVE EFFICIENCY; STATISTICAL-INFERENCE; DIRECTIONAL DISTANCES; STATE SOCIALISM; INTERVAL DEA; IDEA;

D O I：

暂无

中图分类号：

O1 [数学];

学科分类号：

0701 ; 070101 ;

摘要：

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.

引用

页码：1075 / 1083

页数：9

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