Journal Article10.1016/S0377-2217(97)00321-4
Data envelopment analysis vs. principal component analysis: An illustrative study of economic performance of Chinese cities
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TL;DR: Two approaches in aggregating multiple inputs and multiple outputs in the evaluation of decision making units (DMUs), data envelopment analysis (DEA) and principal component analysis (PCA) are compared.
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About: This article is published in European Journal of Operational Research. The article was published on 16 Nov 1998. The article focuses on the topics: Data envelopment analysis & Principal component analysis.
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Citations
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Alternative secondary goals in DEA cross-efficiency evaluation
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A multivariate statistical approach to reducing the number of variables in data envelopment analysis
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Wayne W. Daniel
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TL;DR: In this article, applied nonparametric statistics are applied to the problem of applied non-parametric statistical data collection in the context of the application of applied NN statistics, including:
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A procedure for ranking efficient units in data envelopment analysis
TL;DR: In this paper, a modified version of DEA based upon comparison of efficient DMUs relative to a reference technology spanned by all other units is developed, which provides a framework for ranking efficient units and facilitates comparison with rankings based on parametric methods.
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"Data Envelopment Analysis: Theory, Methodology, and Applications"
Abraham Charnes,William W. Cooper,Arie Y. Lewin,Lawrence M. Seiford +3 more
- 31 Jul 1995
TL;DR: In this article, the authors present DEA Software Packages for the U.S. Airline Industry and present a Spatial Efficiency Framework for the Support of Locational Decision (SELF).
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