Data envelopment analysis 数据包络分析.pdf,The Stata Journal (2010) 10, Number 2, pp. 267–280 Data envelopment analysis Yong-bae Ji Choonjoo Lee Korea National Defense University Korea National Defense University Seoul, Republic of Korea Seoul, Republic
Data Envelopment Analysis (DEA): Efficiency as an Indicator of Schools’ Performance by Paul Lau Ngee Kiong Universiti Teknologi MARA..
Data Envelopment Analysis Diffusion production productivity Table of contents (22 chapters) Front Matter Pages i-xiii Download chapterPDF Concepts, Models, and Computation Front Matter Pages 1-1 Download chapterPDF Introduction Abraham Charnes, William W. Cooper, Arie Y. Lewin, Lawrence M. Seiford ...
Data Envelopment Analysis Theory, Methodology, and Applications 数据包络分析:理论、方法与应用 (0)踩踩(0) 所需:1积分 知识文档 2025-02-11 09:36:46 积分:1 Altium_Part_Library_With_ERP_Code 2025-02-11 09:36:17 积分:1 my_2022_1_22 ...
Analysis of performance has economic production theory as its foundation. Firms employ inputs to produce output typically with an incentive to maximize profits. Firms that are technically inefficient could increase outputs and revenue with the same inputs or could decrease inputs and cost with the ...
1 Data Envelopment Analysis of Different Climate Policy Scenarios by Valentina Bosetti* and Barbara Buchner** * Fondazione Eni Enrico Matt..
data envelopment analysis (DEA)data envelopment analysis and productivity indicatorefficiency measuresefficient frontier ‐ known as production functionCCR modeltarget objective definitiondata envelopment analysis identifying a peer groupidentifying and sharing good operating practicescross‐efficiency analysis based ...
数据包络分析方法(Data Envelopment Analysis,DEA)是运筹学、管理科学与数理经济学交叉研究的一个新领域。它是根据多项投入指标和多项产出指标,利用线性规划的方法,对具有可比性的同类型单位进行相对有效性评价的一种数量分析方法。DEA 方法及其模型已广泛应用于不同行业及部门,并且在处理多指标投入和多指标产...
数据包络(DataEnvelopmentAnalysis,DEA)方 法用于对多投入和多产出的不同决策单元(Decision MakingUnit,DMU)的效率性进行评估。DEA方法 的基础思想1957年被Farrell教授提出之后,⋯于 1978年由Chames,Cooper&Rhodes三位学者将之 扩充到固定规模报酬下的多投入、多产出的效率评 估模型(CR模型)。_21984年又由Banker,Ch...
This review introduces the history and present status of data envelopment analysis (DEA) research, particularly the evaluation process. And extensions of some DEA models are also described. It is pointed out that mathematics, economics and management science are the main forces in the DEA development...