Data Envelopment Analysis (DEA) is a non‐parametric technique for assessing the relative efficiency of decision making units (DMUs) by comparing the ratio of multiple inputs to outputs. Since its ...
Abstract: Assumptions play a pivotal role in the selection and efficacy of statistical models, as unmet assumptions can lead to flawed conclusions and impact decision-making. In both traditional ...
The cross-efficiency evaluation method represents a significant enrichment of conventional data envelopment analysis (DEA) by incorporating peer evaluations to rank decision-making units (DMUs) more ...
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