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Titlebook: Data Science and Productivity Analytics; Vincent Charles,Juan Aparicio,Joe Zhu Book 2020 Springer Nature Switzerland AG 2020 Productivity

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51#
發(fā)表于 2025-3-30 10:57:12 | 只看該作者
52#
發(fā)表于 2025-3-30 14:43:16 | 只看該作者
A Data Scientific Approach to Measure Hospital Productivity,logic-based multi-criteria decision-making model so as to enhance business performance. Data Envelopment Analysis is utilized to analyze the productivity and then it is hybridized with the Fuzzy Analytic Hierarchy Process to formulate the decision-making model. The simultaneous hybrid use of these t
53#
發(fā)表于 2025-3-30 19:25:25 | 只看該作者
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發(fā)表于 2025-3-30 23:34:03 | 只看該作者
Pension Funds and Mutual Funds Performance Measurement with a New DEA (MV-DEA) Model Allowing for Mthe same “culture”. However, in the real world, managers always want to compare their products/operations with similar entities (competitors), although, with some differences but in the same industry. It happens that there does not exist a model that can appropriately consider some aspects that are
55#
發(fā)表于 2025-3-31 04:49:17 | 只看該作者
Sharpe Portfolio Using a Cross-Efficiency Evaluation,rtfolio. In this paper, we introduce a robust Sharpe ratio portfolio under the assumption that the risk-free asset is unknown. We propose a robust portfolio that maximizes the Sharpe ratio when the risk-free asset is unknown, but is within a given interval. To compute the best Sharpe ratio portfolio
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