DETECTING INFLUENTIAL OBSERVATIONS IN DATA ENVELOPMENT ANALYSIS

被引：179
作者：
WILSON, PW
机构：
[1] Department of Economics, University of Texas, Austin, 78712, Texas
来源：
JOURNAL OF PRODUCTIVITY ANALYSIS | 1995年 / 6卷 / 01期
关键词：
DEA; INFLUENTIAL OBSERVATIONS; OUTLIERS;
D O I：
10.1007/BF01073493
中图分类号：
F [经济];
学科分类号：
02 ;
摘要：
This paper provides diagnostic tools for examining the role of influential observations in Data Envelopment Analysis (DEA) applications. Observations may be prioritized for further scrutiny to see if they are contaminated by data errors; this prioritization is important in situations where data-checking is costly and resources are limited. Several empirical examples are provided using data from previously published studies.
引用
收藏
页码：27 / 45
页数：19
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