標(biāo)題: Titlebook: Data Science and Productivity Analytics; Vincent Charles,Juan Aparicio,Joe Zhu Book 2020 Springer Nature Switzerland AG 2020 Productivity [打印本頁] 作者: fibrous-plaque 時(shí)間: 2025-3-21 17:26
書目名稱Data Science and Productivity Analytics影響因子(影響力)
書目名稱Data Science and Productivity Analytics影響因子(影響力)學(xué)科排名
書目名稱Data Science and Productivity Analytics網(wǎng)絡(luò)公開度
書目名稱Data Science and Productivity Analytics網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Data Science and Productivity Analytics被引頻次
書目名稱Data Science and Productivity Analytics被引頻次學(xué)科排名
書目名稱Data Science and Productivity Analytics年度引用
書目名稱Data Science and Productivity Analytics年度引用學(xué)科排名
書目名稱Data Science and Productivity Analytics讀者反饋
書目名稱Data Science and Productivity Analytics讀者反饋學(xué)科排名
作者: CHART 時(shí)間: 2025-3-21 22:29
International Series in Operations Research & Management Sciencehttp://image.papertrans.cn/d/image/263105.jpg作者: Initial 時(shí)間: 2025-3-22 04:03
Playing with Text and Data Filesork provides the fastest available technique in the DEA literature to deal with big data. It is well known that as the number of decision-making units (DMUs) or the number of inputs–outputs increases, the size of DEA linear programming problems increases; and thus, the elapsed time to evaluate the p作者: entreat 時(shí)間: 2025-3-22 07:41
Playing with Text and Data Fileshave a broad impact within and beyond the field. Algorithmic, computational, and geometric results in DEA allow us to solve larger problems faster; they also contribute to various other fields including computational geometry, statistics, and machine learning. This chapter reviews these topics from 作者: 逃避責(zé)任 時(shí)間: 2025-3-22 12:37 作者: 思考 時(shí)間: 2025-3-22 13:18 作者: 思考 時(shí)間: 2025-3-22 20:19
Computational Biology of Non-Coding RNAon the non-parametric derivation of the Production Possibility Set (PPS), on the multiplicity of DEA models and on how to handle different types of situations, namely, undesirable outputs, ratio variables, multi-period data, negative data non-discretionary variables, and integer variables.作者: 克制 時(shí)間: 2025-3-22 23:13
Rosario Michael Piro,Annalisa Marsicons that are available using the Stochastic Frontier Analysis (SFA), the most popular parametric frontier technique. We start this chapter summarizing the main results of production theory using the concept of distance function. Next, we outline the most popular estimation methods: maximum likelihood作者: 支架 時(shí)間: 2025-3-23 02:31
Xin Lai,Shailendra K. Gupta,Julio Verafor the second stage is critical, in order to ensure that the two stages have incentives to collaborate with each other to achieve the best performance of the whole system. Data envelopment analysis (DEA) as a non-parametric approach for efficiency evaluation of multi-input, multi-output systems has作者: 古代 時(shí)間: 2025-3-23 09:19
Rosario Michael Piro,Annalisa Marsicollocate fixed cost and resource primary based on the efficiency maximization principle. However, due to the existing of technology heterogeneity among DMUs, it is impractical for all the DMUs to achieve a common technology level, especially when some DMUs are far from the efficient frontier. In this作者: 尊嚴(yán) 時(shí)間: 2025-3-23 13:12
https://doi.org/10.1007/978-3-642-18552-6 countries participating in PISA 2015. Given that the context in which schools are operating might be heterogeneous, we need to account for those divergences in the environmental conditions when estimating the efficiency measures of school performance. In this way, each school can be benchmarked wit作者: colostrum 時(shí)間: 2025-3-23 17:35
https://doi.org/10.1007/978-3-642-18552-6e competitiveness in emerging markets of Latin America. Therefore, it is relevant to carry out an analysis of their performance. A good approach to measure performance is DEA, a mathematical tool that handles a benchmark analysis by an evaluation of multiple factors that describes the nature of an e作者: 翅膀拍動(dòng) 時(shí)間: 2025-3-23 20:37
https://doi.org/10.1007/978-3-642-18552-68, the investigated bank implemented a personal business-preferred policy. We established two Data Envelopment Analysis (.) models to test the impacts of . on the implementation of the policy. The results show that internal-controlled branches tend to be more sensitive to the bank’s policy. When it 作者: AMITY 時(shí)間: 2025-3-23 23:47 作者: hysterectomy 時(shí)間: 2025-3-24 02:39
https://doi.org/10.1007/978-3-642-18552-6 rapid growth that has defined the country’s recent past. However, little work has been able to meaningfully reflect the collaborative way in which provinces are assigned targets on a subnational regional basis. Suggesting a meta-frontier allocation approach by using data envelopment analysis (DEA),作者: 逗留 時(shí)間: 2025-3-24 09:48
https://doi.org/10.1007/978-3-642-18552-6the 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 作者: 同謀 時(shí)間: 2025-3-24 12:52 作者: fiscal 時(shí)間: 2025-3-24 15:35
An Introduction to Data Science and Its Applications,computer science intersect. Thus, from the perspective of the data itself, machine learning, operation research, methods and algorithms, and data mining techniques are aligned to address new challenges characterised by the complexity, volume and heterogeneous nature of data.作者: 向前變橢圓 時(shí)間: 2025-3-24 19:45
Data Envelopment Analysis and Non-parametric Analysis,on the non-parametric derivation of the Production Possibility Set (PPS), on the multiplicity of DEA models and on how to handle different types of situations, namely, undesirable outputs, ratio variables, multi-period data, negative data non-discretionary variables, and integer variables.作者: 卜聞 時(shí)間: 2025-3-24 23:29 作者: Hallowed 時(shí)間: 2025-3-25 06:57
978-3-030-43386-4Springer Nature Switzerland AG 2020作者: 知道 時(shí)間: 2025-3-25 08:09 作者: 東西 時(shí)間: 2025-3-25 14:49 作者: Implicit 時(shí)間: 2025-3-25 17:41 作者: 入伍儀式 時(shí)間: 2025-3-25 20:18 作者: Chivalrous 時(shí)間: 2025-3-26 00:46
https://doi.org/10.1007/978-3-642-18552-6anches is also more significant when it is a negative policy. Location and managers’ personalities are identified as the two direct reasons that cause LOC effects. Several suggestions are also provided in this paper to alleviate the negative effects of LOC.作者: 換話題 時(shí)間: 2025-3-26 06:04 作者: 輕推 時(shí)間: 2025-3-26 09:03 作者: 使閉塞 時(shí)間: 2025-3-26 14:04
,Data Envelopment Analysis (DEA): Algorithms, Computations, and?Geometry,ey also contribute to various other fields including computational geometry, statistics, and machine learning. This chapter reviews these topics from a historical viewpoint, as they currently stand, and as to how they will evolve in the future.作者: Spongy-Bone 時(shí)間: 2025-3-26 18:10 作者: alcoholism 時(shí)間: 2025-3-26 21:47
https://doi.org/10.1007/978-3-642-18552-6, all the Sharpe ratios for any risk-free asset are considered and compared by using the so-called cross-efficiency evaluation. An explicit expression of the Cross-Efficiency Sharpe Ratio portfolio is presented when short selling is allowed.作者: organism 時(shí)間: 2025-3-27 04:18
A Data Scientific Approach to Measure Hospital Productivity,wo methods is utilized to compile a ranked list of multiple proxies containing diverse input and output variables which occur in two stages. This hybrid methodology presents uniqueness in that it helps make the most suitable decision with the consideration of the weights determined by the data from the hybrid model.作者: 宣誓書 時(shí)間: 2025-3-27 06:41 作者: overhaul 時(shí)間: 2025-3-27 12:11 作者: inspiration 時(shí)間: 2025-3-27 16:31
Playing with Text and Data Filesey also contribute to various other fields including computational geometry, statistics, and machine learning. This chapter reviews these topics from a historical viewpoint, as they currently stand, and as to how they will evolve in the future.作者: 起波瀾 時(shí)間: 2025-3-27 19:54 作者: 不成比例 時(shí)間: 2025-3-28 01:55 作者: 殺人 時(shí)間: 2025-3-28 05:06 作者: 外向者 時(shí)間: 2025-3-28 08:38 作者: Exterior 時(shí)間: 2025-3-28 10:52 作者: Mosaic 時(shí)間: 2025-3-28 18:11
Data Envelopment Analysis and Big Data: Revisit with a Faster Method,ork provides the fastest available technique in the DEA literature to deal with big data. It is well known that as the number of decision-making units (DMUs) or the number of inputs–outputs increases, the size of DEA linear programming problems increases; and thus, the elapsed time to evaluate the p作者: 欺騙手段 時(shí)間: 2025-3-28 18:46
,Data Envelopment Analysis (DEA): Algorithms, Computations, and?Geometry,have a broad impact within and beyond the field. Algorithmic, computational, and geometric results in DEA allow us to solve larger problems faster; they also contribute to various other fields including computational geometry, statistics, and machine learning. This chapter reviews these topics from 作者: Mobile 時(shí)間: 2025-3-29 01:41 作者: Individual 時(shí)間: 2025-3-29 03:07 作者: ELATE 時(shí)間: 2025-3-29 08:55
Data Envelopment Analysis and Non-parametric Analysis,on the non-parametric derivation of the Production Possibility Set (PPS), on the multiplicity of DEA models and on how to handle different types of situations, namely, undesirable outputs, ratio variables, multi-period data, negative data non-discretionary variables, and integer variables.作者: Eulogy 時(shí)間: 2025-3-29 13:04 作者: disciplined 時(shí)間: 2025-3-29 16:40 作者: Debate 時(shí)間: 2025-3-29 21:56 作者: 單獨(dú) 時(shí)間: 2025-3-30 01:41 作者: 懸崖 時(shí)間: 2025-3-30 04:36 作者: Inflammation 時(shí)間: 2025-3-30 10:57 作者: 箴言 時(shí)間: 2025-3-30 14:43
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作者: 獎(jiǎng)牌 時(shí)間: 2025-3-30 19:25 作者: 癡呆 時(shí)間: 2025-3-30 23:34
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 作者: 相反放置 時(shí)間: 2025-3-31 04:49
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
