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 ...

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 ...

Data modeling refers to the architecture that allows data analysis to use data in decision-making processes. A combined approach is needed to maximize data insights. While the terms data analysis and ...