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MyDEA 1.0 for Data Envelopment Analysis 教程

文件格式:Pdf 可复制性:可复制 TAG标签: MyDEA 1.0 , Data Envelopment Analysis 点击次数: 更新时间:2009-10-28 10:45
介绍

目录 1 MyDEA运行环境 ................................................................................................. 1

 1.1软件环境 ............................................................................................................................. 1

1.2硬件环境 ............................................................................................................................. 1

2 MyDEA的主要特点 ............................................................................................. 2

3快速指南 ............................................................................................................. 3

3.1导入数据 ............................................................................................................................. 3

3.2定义数据 ............................................................................................................................. 3

3.3设置并运行模型 ................................................................................................................. 4

3.4查看结果 ............................................................................................................................. 4

4 软件更新历史 ..................................................................................................... 5

附录1: MyDEA 1.0 包含的DEA模型 (377个) ................................................... 6

1) Basic Models: 45 ................................................................................................................... 7

2) Nonconvex(FDH) Models: 2 .................................................................................................. 7

3) Superefficiency Models: 45 ................................................................................................... 8

4) Uncontrolled/Discretionary Models: 45 ............................................................................... 9

5) Bounded Models: 15 ............................................................................................................. 9

6) Weighted Score Models: 15 ................................................................................................ 10

7) Malmquist Models: 45 ........................................................................................................ 10

8) Uncontrolled/Discretionary Superefficiency Models: 45 .................................................... 11

9) Bounded Superefficiency Models: 15 ................................................................................. 11

10) Weighted-Score Superefficiency Models: 15 .................................................................... 12

11) Uncontrolled/Discretionary Malmquist Models: 45 ......................................................... 12

12) Bounded Malmquist Models: 15 ....................................................................................... 13

13) Weighted-Score Malmquist Models: 15 ........................................................................... 13

14) Weighted-Score Uncontrolled/Discretionary Models: 15 ................................................. 13

附录2: 数据包络分析简介 ............................................................................... 13

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