A statistical test for detecting influential observations in DEA

被引：50

作者：

Pastor, JT ^{[1
]}

Ruiz, JL ^{[1
]}

Sirvent, I ^{[1
]}

机构：

[1] Univ Miguel Hernandez, Dept Estadist & Matemat Aplicada, Alicante 03202, Spain

来源：

EUROPEAN JOURNAL OF OPERATIONAL RESEARCH | 1999年 / 115卷 / 03期

关键词：

data envelopment analysis; influential observations; nonparametric statistics;

D O I：

10.1016/S0377-2217(98)00153-2

中图分类号：

C93 [管理学];

学科分类号：

12 ; 1201 ; 1202 ; 120202 ;

摘要：

This paper deals with the problem of detecting influential observations in deterministic nonparametric DEA models. The technique we present is intended to classify for a further analysis those sample observations considerably affecting the measured efficiency for the remaining units. Then, the analyst will have to check whether these observations are contaminated by data errors or not. This approach also allows to determine when efficiency changes due to the presence of a given unit in the sample are statistically significant. Thus, ours is a statistical alternative to approach the problem of detecting influential observations in deterministic nonparametric DEA models. (C) 1999 Elsevier Science B.V. All rights reserved.

引用

页码：542 / 554

页数：13

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