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效率论文利器 MaxDEA 7 Ultra 测算支持 [推广有奖]

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本人近期购置了MaxDEA 7 Ultra软件,是那款模型最全的版本。现在提供有偿测算服务,价格公道,如果大家有需要可以站内私信或者留言,或者直接加qq1114869664,会尽快回复联系你测算。

附软件涉及模型:
DEA Models available in MaxDEA Ultra
MaxDEA Ultra has the most comprehensive DEA models and nearly all their possible combinations, such as the combination of “Undesirable Outputs” and “Malmquist” (Malmquist-Luenberger Productivity Index).
l  Distance to measure efficiency
1)        Radial (CCR 1978; BCC 1984)
2)        Maximum Distance to Frontier (ERM, Enhanced Russel Measure, Pastor, Ruiz, and Sirvent 1999;  SBM, Slacks-based Measure, Tone 2001)
3)        Minimum Distance to Weak  Efficient Frontier (Charnes, Roussea, and Semple1996)
4)        Minimum Distance to Strong Efficient Frontier (Aparicio, Ruiz, and Sirvent 2007)
5)        Directional Distance Function (Chambers, Chung, and  Färe 1996; Chung, Färe, and Grosskopf 1997)
Direction Vector can be
a) Value of the evaluted DMU (x0, y0)
b) Mean of All DMUs
c) Vector  (1, 1,  ……, 1)
d) Range (RDM, Portela, Thanassoulis, and Simpson 2004)
e) Customized (same for all DMUs)
f) Customized (DMU specific)
g) Direction Vector Scanning
6)        A Series of Weighted Additive Models
a) Simple Additive model: Weights = (1, 1, 1, ...)
b) Normalized Weighted Additive (Lovell and Pastor 1995)
c) Weights = 1/x0, 1/y0
d) Weights = 1/(mean of x0),  1/(mean of y0)
e) Range Adjusted Measure (RAM, Cooper, Park, and Pastor 1999)
f) Bounded Adjusted Measure (BAM, Cooper, Pastor, Borras, Aparicio, and Pastor 2011)
g) Directional Slacks-based Measure (DSBM, Fukuyama and Weber 2009)
h) Customized Weights (same for all DMUs)
i) Customized Weights (DMU specific)

7)        Hybrid Distance(Radial and SBM Fields)
8)        Hybrid Distance(Radial and SBM Measure): (EBM, Epsilon-based Meaure,Tone and Tsutsui 2010)
9)        Cost /Revenue / Profit / Revenue-cost ratio
l  Orientation to measure efficiency
ü  Input-oriented
ü  Output-oriented
ü  Non-oriented
ü  Input-oriented (modified)
ü  Output-oriented (modified)
ü  Non-oriented (input-prioritized)
ü  Non-oriented (output-prioritized)
ü  Non-oriented (generalized priority)
l  RTS to measure efficiency
1)        Constance returns to scale (CRS)
2)        Variable returns to scale (VRS)
3)        Non-increasing returns to scale (NIRS)
4)        Non-decreasing returns to scale (NDRS)
5)        Generalized returns to scale (GRS)
l  Ftontier type to measure efficiency
1)        Convex: Data Envelopment Analysis, DEA (RTS available: CRS, VRS, NIRS, NDRS, GRS)
2)        Non-convex: Free Disposal Hull, FDH (RTS available: CRS, VRS, NIRS, NDRS, GRS)
3)        Non-convex: Elementary Replicability Hull, ERH (Agrell and Tind 2001)
4)        Non-convex: Free Replicability Hull, FRH (Tulkens 1993; Agrell and Tind 2001)
l  Productivity measure (Malmquist index)
a)        Adjacent Malmquist
b)        Fixed Malmquist
c)        Global Malmquist
d)        Sequential Malmquist
e)        Window-Malmquist (Adjacent)
f)          Window-Malmquist (Fixed)
Malmquist index decomposition:
Efficiency Change (catch-up), Technological Change (frontier shift), Scale Efficiency Change, biased Technological Change, TC=OBTC*IBTC*MATC (Fare et al 1997)
l  Window model

l  Cluster model
a)        Self-benchmarking
b)        Cross-benchmarking
c)        Downward-benchmarking
d)        Upward-benchmarking
e)        Lower-adjacent-benchmarking
f)            Upper-adjacent-benchmarking
g)        Window-benchmarking

l  Customized reference ret model
1)        Variable-benchmark model
2)        Fixed-benchmark model

l  Other models
1)        Common Weights Model (Pareto optimal satisfaction degree by Wu, Chu, Zhu, Li, and Liang 2016)
2)        Minimum Efficiency model (Pessimistic DEA) and Interval DEA (Entani, Maeda, and Tanaka 2002)
3)        Network model (Based on the framework by Tone, and Tsutsui 2009; Also Ref. to Tavana, Mirzagoltabar, Mirhedayatian, Saen, and Azadi 2013)
4)        Two-Stage Network (Inputs --> Intermediates --> Outputs) (Kao and Hwang 2008)
5)        Parallel Network (Kao 2009)
6)        Dynamic model
7)        Context-dependent (Seiford, and Zhu 2003)
8)        Super-efficiency model
9)        Modified SBM (Sharp et al 2007)
10)    Cross efficiency model
Second-stage methods are available:
Maximize/Minimize the trade balance of other DMUs as a whole
a) Blanket Benevolent (Type I in Doyle and Green 1995)
b) Blanket Aggressive (Type I in Doyle and Green 1995)
Maximize/Minimize the cross-efficiency of other DMUs as a whole
c) Blanket Benevolent (Type II in Doyle and Green 1995)
d) Blanket Aggressive (Type II in Doyle and Green 1995)
Maximize/Minimize the cross-efficiency of each of other DMUs one by one
e) Targeted Benevolent (Type IV in Doyle and Green 1995)
f) Targeted Aggressive (Type IV in Doyle and Green 1995)
11)    Game Cross Efficiency model  (Liang, Wu, Cook, & Zhu, 2008; Wu, Liang, & Chen, 2009)
12)    Undesirable output model
13)    Nondiscretionary input/output model (non-controllable model, measure specific model)
14)    Bounded input/output model
15)    Preference (weighted) model
16)    Restricted projection model
17)    Weak disposability model
18)    Restricted multiplier model (assurance region model, trade-offs between inputs and outputs)
19)    Fuzzy DEA
20)    MetaFrontier DEA (Rao, O'Donnell, and Battese 2003)
21)    Non-concave MetaFrontier DEA (Tiedemann, Francksen, and Latacz-Lohmann 2011)
22)    Non-concave MetaFrontier DEA and Non-concave MetaFrontier Malmquist
23)    Bootstrap
a)        Bootstrap of DEA Score
b)        Bootstrap of Malmquist Index

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一锋小刃 发表于 2018-7-12 15:11:29 |显示全部楼层 |坛友微信交流群
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一锋小刃 发表于 2018-7-14 01:02:08 来自手机 |显示全部楼层 |坛友微信交流群
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一锋小刃 发表于 2018-7-23 11:14:28 |显示全部楼层 |坛友微信交流群
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zkx12345 学生认证  发表于 2018-7-25 22:31:57 |显示全部楼层 |坛友微信交流群
一锋小刃 发表于 2018-7-23 11:14
自己顶一下
好的,有需要的话就找你哈。

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一锋小刃 发表于 2018-7-26 15:31:40 |显示全部楼层 |坛友微信交流群
zkx12345 发表于 2018-7-25 22:31
好的,有需要的话就找你哈。
谢谢支持~

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guodandan 发表于 2018-7-27 10:31:49 |显示全部楼层 |坛友微信交流群
您好!DEA-Solver9.0软件和MaxDea7这两款软件最主要的区别是什么?谢谢!

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一锋小刃 发表于 2018-7-27 15:31:21 |显示全部楼层 |坛友微信交流群
guodandan 发表于 2018-7-27 10:31
您好!DEA-Solver9.0软件和MaxDea7这两款软件最主要的区别是什么?谢谢!
MaxDea支持很多模型 比如EBM模型, 动态dea ,网络dea等等 dea-solve 只有少量常见模型
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