A multivariate statistical approach to reducing the number of variables in data envelopment analysis
type: Item
instance of: scholarly article
title: A multivariate statistical approach to reducing the number of variables in data envelopment analysis
zbMATH Open document ID: 1011.90528
DOI: 10.1016/S0377-2217(02)00243-6
author: Larry Jenkins
author: Murray Anderson
published in: European Journal of Operational Research
publication date: 2003-04-10T00:00:00Z
Mathematics Subject Classification ID: 90B50
zbMATH DE Number: 1896823
zbMATH Keywords: data envelopment analysis
zbMATH Keywords: multivariate statistics
zbMATH Keywords: data reduction
MaRDI profile type: Publication
cites work: Evaluation of deregulated airline networks using data envelopment analysis combined with principal component analysis with an application to Western Europe
cites work: A Procedure for Ranking Efficient Units in Data Envelopment Analysis
cites work: Measuring the efficiency of decision making units
cites work: Scaling units via the canonical correlation analysis in the DEA context
cites work: Combining ranking scales and selecting variables in the DEA context: The case of industrial branches.
cites work: Choosing a solid waste management system using multicriteria decision analysis
cites work: ELECTRE III and IV Decision Aids in an Environmental Problem
cites work: Q4368573
cites work: Q5574451
cites work: Comparing multicriteria methods in the context of environmental problems
cites work: A comparative analysis of DEA as a discrete alternative multiple criteria decision tool
cites work: Tests of efficiency in data envelopement analysis
cites work: Academic departments efficiency via DEA
cites work: DEA and the discriminant analysis of ratios for ranking units
cites work: Review of ranking methods in the data envelopment analysis context
cites work: APPLICATION OF PRINCIPAL COMPONENT ANALYSIS FOR PARSIMONIOUS SUMMARIZATION OF DEA INPUTS AND/OR OUTPUTS
cites work: Data envelopment analysis vs. principal component analysis: An illustrative study of economic performance of Chinese cities
description: scientific article; zbMATH DE number 1896823