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Extended DEA-Discriminant Analysis
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DOI：10.1016/S0377-2217(00)00054-0.png)
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A new non-parametric method is recently proposed for discriminant analysis (Sueyoshi, T., 1999. DEA-discriminant analysis in the view of goal programming. European Journal of Operational Research 115, 564-582). The new approach is referred to as DEA-Discriminant Analysis (DEA-DA) that is designed to identify the existence of an overlap between two groups, then determining the group membership of a newly sampled observation. A unique feature of the new technique is that it does not assume any discriminant function for group classification. As an extension of his study, this research proposes a new type of DEA-DA, or Extended DEA-DA, that can overcome some methodological drawbacks of its original formulation, but simultaneously maintaining its discriminant capabilities. Using a real data set regarding Japanese banks and a large simulation study, this research confirms that the Extended DEA-DA outperforms conventional linear and nonlinear discriminant analysis techniques. (C) 2001 Elsevier Science B.V. All rights reserved.
Keyword:
discriminant analysis
goal programming
data envelopment analysis
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6
论文数:
2.2W
被引数:
6.4W
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