Observed data for use in DEA may suffer from non-controllable environmental effects and statistical noise. Hence, detaching these external effects from data and uncovering the true managerial efficiency are crucial for evaluating DMUs? performance. In this chapter, we have covered these subjects and demonstrated a case study dealing with Japanese banking using a three-stage approach.
CITATION STYLE
Cooper, W. W., Seiford, L. M., & Tone, K. (2007). Multi-Stage Use of Parametric and Non-Parametric Models. In Data Envelopment Analysis (pp. 423–442). Springer US. https://doi.org/10.1007/978-0-387-45283-8_16
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