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  • James Stewart, Lothar Redlin, & Saleem Watson - Worksheets for Algebra and Tri.zip

    本附件包括：
    • Worksheet_AlgebraicExpressions_+and-_AnswerKey.docx
    • Worksheet_AlgebraicExpressions_Multiplication_AnswerKey.docx
    • Worksheet_Ch.10AnswerKey.docx
    • Worksheet_Ch.12AnswerKey.docx
    • Worksheet_Ch.1AnswerKey.docx
    • Worksheet_Ch.2AnswerKey.docx
    • Worksheet_Ch.3AnswerKey.docx
    • Worksheet_Ch.4AnswerKey.docx
    • Worksheet_ComplexLinearEquations_and_Inequalities_AnswerKey.docx
    • Worksheet_CourseReview_Application_AnswerKey.docx
    • Worksheet_CourseReview_Domain_AnswerKey.docx
    • Worksheet_CourseReview_Regression_AnswerKey.docx
    • Worksheet_CourseReview_SolvingEquations_AnswerKey.docx
    • Worksheet_CourseReview_Transformations_AnswerKey.docx
    • Worksheet_DescribingGraphs_AnswerKey.docx
    • Worksheet_Equations_and_InequalitiesInvolvingFractions_AnswerKey.docx
    • Worksheet_FactoringTrinomials_ax^2+bx+c_AnswerKey.docx
    • Worksheet_FactoringTrinomials_x^2+bx+c_AnswerKey.docx
    • Worksheet_Factoring_Difference_of_Squares_AnswerKey.docx
    • Worksheet_Factoring_GCF_AnswerKey.docx
    • Worksheet_GraphingLinearEquations_AnswerKey.docx
    • Worksheet_IntervalNotation_AnswerKey.docx
    • Worksheet_LinearEquations_Variables_on_BothSides_AnswerKey.docx
    • Worksheet_LinearInequalities_AnswerKey.docx
    • Worksheet_Operations_w_Fractions_AnswerKey.docx
    • Worksheet_PrereqReviewPacketAnswerKey.docx
    • Worksheet_PrereqSkillReviewDay_AnswerKey.docx
    • Worksheet_Properties_of_Exponents_AnswerKey.docx
    • Worksheet_SimplifyingRadicals_AnswerKey.docx
  • 4.38 MB
  • 2024-9-10

  • colvin2013.rar

    本附件包括：
    • colvin2013.pdf
  • 217.89 KB
  • 2024-9-1

  • 上市公司融资租赁涉及方明细表2024.zip

    本附件包括：
    • 鐗堟潈澹版槑.pdf
    • FL_InvolveParty[DES][xlsx].txt
    • FL_InvolveParty.xlsx
  • 1.82 MB
  • 2024-7-28

  • 上市公司管理者能力计算Stata代码（附2007-2023年结果）.zip

    本附件包括：
    • DEA-SOLVER-PRO13c.xlsm
    • DEA-solver pro 13软件及使用说明.zip
    • DEA结果.dta
    • 公司文件.dta
    • 参考文献1：管理者能力与企业风险承担_何威风.pdf
    • 参考文献2：管理者能力影响企业成本粘性吗_张路.pdf
    • 参考文献3：Quantifying Managerial Ability___A New Measure and Validity Tests.pdf
    • 参考文献4：Managerial Ability and Earnings Quality.pdf
    • 基础数据.xlsx
    • 多元化经营程度.dta
    • 管理者能力[经管之家momingqimiao7].do
    • 管理者能力结果.dta
    • 管理者能力结果.xlsx
  • 20.85 MB
  • 2024-6-28

  • 全国31个省份数字经济-各地区通信服务水平(年)1949-2022.zip

    本附件包括：
    • Copyright notice.pdf
    • DM_AreaComSrvcLvlY[DES][xlsx].txt
    • DM_AreaComSrvcLvlY.xlsx
  • 205.44 KB
  • 2024-5-27

  • 全国各地区各保险公司偿付能力2004-2021.zip

    本附件包括：
    • Copyright notice.pdf
    • INS_Solvency[DES][xlsx].txt
    • INS_Solvency.xlsx
  • 296.22 KB
  • 2024-5-15

  • Solving problems in geometry-V. Gusev, V. Litvinenko, A. Mordkovich.zip
       Solving problems in geometry-V. Gusev, V. Litvinenko, A. Mordkovich

    本附件包括：
    • Solving problems in geometry-V. Gusev, V. Litvinenko, A. Mordkovich.djvu
  • 2.31 MB
  • 2024-4-14

  • WIOD2000-2014各国家.zip
       如题

    本附件包括：
    • LVA_NIOT_nov16.xlsx
    • AUS_NIOT_nov16.xlsx
    • AUT_NIOT_nov16.xlsx
    • BEL_NIOT_nov16.xlsx
    • BGR_NIOT_nov16.xlsx
    • BRA_NIOT_nov16.xlsx
    • CAN_NIOT_nov16.xlsx
    • CHE_NIOT_nov16.xlsx
    • CHN_NIOT_nov16.xlsx
    • CYP_NIOT_nov16.xlsx
    • CZE_NIOT_nov16.xlsx
    • DEU_NIOT_nov16.xlsx
    • DNK_NIOT_nov16.xlsx
    • ESP_NIOT_nov16.xlsx
    • EST_NIOT_nov16.xlsx
    • FIN_NIOT_nov16.xlsx
    • FRA_NIOT_nov16.xlsx
    • GBR_NIOT_nov16.xlsx
    • GRC_NIOT_nov16.xlsx
    • HRV_NIOT_nov16.xlsx
    • HUN_NIOT_nov16.xlsx
    • IDN_NIOT_nov16.xlsx
    • IND_NIOT_nov16.xlsx
    • IRL_NIOT_nov16.xlsx
    • ITA_NIOT_nov16.xlsx
    • JPN_NIOT_nov16.xlsx
    • KOR_NIOT_nov16.xlsx
    • LTU_NIOT_nov16.xlsx
    • LUX_NIOT_nov16.xlsx
    • MEX_NIOT_nov16.xlsx
    • MLT_NIOT_nov16.xlsx
    • NLD_NIOT_nov16.xlsx
    • NOR_NIOT_nov16.xlsx
    • POL_NIOT_nov16.xlsx
    • PRT_NIOT_nov16.xlsx
    • ROU_NIOT_nov16.xlsx
    • RUS_NIOT_nov16.xlsx
    • SVK_NIOT_nov16.xlsx
    • SVN_NIOT_nov16.xlsx
    • SWE_NIOT_nov16.xlsx
    • TUR_NIOT_nov16.xlsx
    • TWN_NIOT_nov16.xlsx
    • USA_NIOT_nov16.xlsx
  • 65.27 MB
  • 2024-4-12

  • 【5634页2023大学教学课件】 苏黎世联邦理工学院：数字设计和计算机体系结构（下）.zip

    本附件包括：
    • Lecture 16b：Branch Prediction.pdf
    • Lecture 17：Advanced Branch Prediction.pdf
    • Lecture 18a：VLIW Architectures.pdf
    • Lecture 18b：Systolic Array Architectures.pdf
    • Lecture 18c：Decoupled Access-Execute.pdf
    • Lecture 19：SIMD Architectures.pdf
    • Lecture 20：GPU Architectures.pdf
    • Lecture 21：Memory Overview，Organization & Technology.pdf
    • Lecture 22：Memory Hierarchy and Caches.pdf
    • Lecture 23：Cache Design and Management.pdf
    • Lecture 24a：Advanced Caching.pdf
    • Lecture 24b：Prefetching.pdf
    • Lecture 25a：Advanced Prefetching.pdf
    • Lecture 25b：Virtual Memory.pdf
    • Lecture 26a：Virtual Memory II.pdf
    • Lecture 26b：Epilogue & Future Computing Architectures.pdf
    • Lecture 26c：Virtual Memory：Issues and Examples.pdf
    • Lecture 27：Problem Solving I.pdf
    • Lecture 28：Problem Solving II.pdf
    • Lecture 29：Problem Solving III.pdf
    • Lecture 30：Problem Solving IV.pdf
    • Lecture 31：Problem Solving V.pdf
    • Lecture 32：Preparing for the Final Exam.pdf
  • 83.84 MB
  • 2024-3-10

  • Singularities of Plane Curves (London Mathematical Society Lecture Note Series)-.zip
       Singularities of Plane Curves

    本附件包括：
    • Singularities of Plane Curves (London Mathematical Society Lecture Note Series)-Eduardo Casas-Alvero.djvu
  • 2.14 MB
  • 2024-2-25

  • 决策理论与方法 江西财经大学.zip

    本附件包括：
    • 87_主成分分析法.pdf
    • 88_可拓决策方法.ppt
    • 89_可拓决策方法.pdf
    • 90_多阶段决策.ppt
    • 91_多阶段决策.pdf
    • 92_多阶段决策.pdf
    • 93_序贯决策.ppt
    • 94_序贯决策.pdf
    • 95_序贯决策.pdf
    • 96_纳什(John-Nash).pdf
    • 97_马尔可夫决策.ppt
    • 98_马尔可夫决策.pdf
    • 99_马尔可夫决策.pdf
    • 100_马尔可夫决策.pdf
    • 101_群决策简介.pdf
    • 102_群决策简介.pdf
    • 103_多属性决策.ppt
    • 104_多属性决策.pdf
    • 105_双边匹配决策与模糊决策.ppt
    • 106_双边匹配决策与模糊决策.pdf
    • 107_双边匹配决策与诺贝尔经济学奖.pdf
    • 108_8.1双边匹配决策的内容.ppt
    • 109_双边匹配决策与模糊决策.pdf
    • 110_双边匹配决策的偏好序信息.ppt
    • 111_双边匹配决策的偏好序信息.pdf
    • 112_基于完全偏好序的双边匹配决策方法.ppt
    • 113_基于完全偏好序的双边匹配决策方法.pdf
    • 114_模糊综合评价方法.ppt
    • 115_模糊综合评价方法.pdf
    • 116_复杂系统与系统模型.ppt
    • 117_复杂系统与系统模型.pdf
    • 118_系统仿真.ppt
    • 119_系统仿真.pdf
    • 120_复杂系统微观仿真.ppt
    • 121_复杂系统微观仿真.pdf
    • 122_蒙特卡罗仿真方法.ppt
    • 123_蒙特卡罗仿真方法.pdf
    • 124_蒙特卡罗仿真方法.pdf
    • 125_蒙特卡罗仿真方法.pdf
    • 126_离散事件的系统模型.ppt
    • 127_离散事件的系统模型.pdf
    • 128_排队系统仿真.ppt
    • 129_排队系统仿真.pdf
    • 130_排队系统仿真.pdf
    • 131_排队系统仿真.pdf
    • 132_库存系统仿真.ppt
    • 133_库存系统仿真.pdf
    • 134_库存系统仿真.pdf
    • 135_其他仿真实例.ppt
    • 136_其他仿真实例.pdf
    • 137_其他仿真实例.pdf
    • 138_连续系统仿真中的数学模型.ppt
    • 139_连续系统仿真中的数学模型.pdf
    • 140_连续系统的微分方程建模方法.ppt
    • 141_连续系统的微分方程建模方法.pdf
    • 142_连续系统的微分方程建模方法.pdf
    • 143_连续系统的微分方程建模方法.pdf
    • 144_经典的连续系统仿真方法.ppt
    • 145_经典的连续系统仿真方法.pdf
    • 146_因果关系图.ppt
    • 147_因果关系图.pdf
    • 148_因果关系图.pdf
    • 149_因果关系图.pdf
    • 150_流图.ppt
    • 151_流图.pdf
    • 152_流图.pdf
    • 153_系统动力学方程与模型仿真.ppt
    • 154_系统动力学方程.pdf
    • 155_系统动力学仿真.pdf
    • 156_系统动力学仿真.pdf
    • 157_决策理论与方法实验大纲.pdf
    • 158_实验报告一AHP模型建立与求解.pdf
    • 159_实验报告二-Venism软件的基本操作.pdf
    • 160_实验报告三离散系统模型仿真-排队系统仿真.pdf
    • 161_实验报告四库存系统仿真（2）.pdf
    • 162_实验报告五离散系统模型仿真-排队系统仿真.pdf
    • 163_实验报告六离散系统模型仿真-排队系统仿真.pdf
    • 164_实验报告七离散系统模型仿真（3）.pdf
    • 165_实验报告八连续系统模型仿真（3）.pdf
    • 166_实验报告九基于模糊层次分析的干部选拔问题研究.pdf
    • 167_实验报告十DEA模型在企业经营效率有效性评价中的应用.pdf
    • 168_实验报告十一连续系统模型仿真（2）.pdf
    • 169_实验报告第十二基于模糊层次分析的高校学生党员评价研究.pdf
    • 170_实验报告十三库存系统仿真（3）.pdf
    • 171_实验报告十四连续系统模型仿真（1）.pdf
    • 172_实验报告十五层次分析法(AHP)的模型建立与求解.pdf
    • 173_实验报告十六离散系统模型仿真—排队系统仿真.pdf
    • 174_实验报告十七AHP在农村垃圾站选址中的应用.pdf
    • 175_实验报告十八基于DEA模型的企业经营效率评价（2）.pdf
    • 176_实验报告十九基于AHP的引发车祸的影响因素分析与研究.pdf
    • 177_实验报告二十基于AHP的我国电力需求分析.pdf
    • 178_实验报告二十一基于AHP的第三方逆向物流供应商评价.pdf
    • 179_实验报告二十二基于AHP的废旧电子产品逆向物流运作分析.pdf
    • 180_实验报告二十三组织中员工与岗位匹配的决策研究.pdf
    • 181_实验报告二十四DEA模型在企业经营效率有效性评价中的应用.pdf
    • 182_实验报告二十五企业经营效率评价.pdf
    • 183_实验报告二十六DEA模型在企业经营效率有效性评价中的应用.pdf
    • 184_实验报告二十七离散系统模型仿真-排队系统仿真.pdf
    • 185_实验报告二十八DYNAMO仿真计算.pdf
    • 186_实验报告二十九连续系统仿真.pdf
    • 187_实验报告三十离散系统模型仿真-库存系统仿真.pdf
    • 188_实验报告三十一排队系统仿真.pdf
    • 189_实验报告三十三库存系统仿真（2）.pdf
    • 190_实验报告三十二排队系统仿真（2）.pdf
    • 191_实验报告三十四连续系统模型仿真（2）.pdf
    • 192_实验报告三十五排队系统仿真（3）.pdf
    • 193_实验报告三十六排队系统仿真（3）.pdf
    • 194_实验报告三十七离散系统模型仿真-库存系统仿真（3）.pdf
    • 195_实验报告三十八AHP应用.pdf
    • 196_实验报告三十九系统动力学应用.pdf
    • 197_实验报告四十排队系统仿真.pdf
    • 198_实验报告四十一离散系统模型仿真-排队系统仿真.pdf
    • 199_实验报告四十二VENSIM的基本操作.pdf
    • 200_实验报告四十三排队系统仿真.pdf
    • 201_实验报告四十四DYNAMO仿真计算.pdf
    • 202_实验报告四十五离散系统模型仿真-排队系统仿真.pdf
    • 203_实验报告四十七离散系统模型仿真-排队系统仿真.pdf
    • 204_实验报告四十六vensim仿真计算（2）.pdf
    • 205_实验报告四十八库存系统仿真.pdf
    • 206_实验报告四十九单服务台单队列系统仿真.pdf
    • 207_实验报告五十排队系统仿真.pdf
    • 208_实验报告五十一排队系统仿真（3）.pdf
    • 209_实验报告五十二排队系统仿真（4）.pdf
    • 210_实验报告五十三排队系统仿真.pdf
    • 211_实验报告五十四离散系统仿真.pdf
    • 212_实验报告五十五离散系统仿真（2）.pdf
    • 213_实验报告五十六DEA模型在企业经营效率有效性评价中的应用.pdf
    • 214_实验报告五十七DEA模型在企业经营效率有效性评价中的应用（2）.pdf
    • 215_实验报告五十八DEA有效应用.pdf
    • 216_实验报告五十九排队系统仿真.pdf
    • 217_实验报告六十DEA模型在物流企业综合效率评价中的应用.pdf
    • 218_大作业要求与任务书.pdf
    • 219_13-1第1章决策分析概述.pdf
    • 220_13-1第2章确定型决策分析.pdf
    • 221_13-1第3章风险型决策分析.pdf
    • 222_13-1第4章不确定型决策分析.pdf
    • 223_13-1第5章多目标决策分析.pdf
    • 224_13-1第6章序贯决策分析.pdf
    • 225_13-1第7章仿真概述.pdf
    • 226_13-1第8章离散系统仿真.pdf
    • 227_13-1第9章连续系统建模与仿真.pdf
    • 228_13-1第10章基于系统动力学的建模与仿真.pdf
    • 229_ppt1《决策理论与方法》课程及其“Q-T-M-P”教学模式简介.ppt
    • 230_ppt2基于AHP的地区文化产业竞争力评价模型.ppt
    • 231_ppt3基于PCA的经济发展方式转变测度的实证研究.ppt
    • 232_ppt4基于ARMA模型的江西省固定资产投资研究.ppt.ppt
    • 233_ppt5基于DEA的国有四大银行经营效率评估.ppt
    • 234_ppt6供应链中牛鞭效应分析.ppt
    • 235_ppt7大学生村官政策的实施效用.ppt.ppt
    • 236_ppt8基于DYNAMO的鄱阳湖生态经济区环境政策仿真模拟.ppt
    • 1_决策分析的概念及基本要素(1).ppt
    • 2_决策分析的概念及基本要素(2).ppt
    • 3_决策分析的概念及其基本要素.pdf
    • 4_决策分析的分类及其基本原则.ppt
    • 5_决策分析的分类及其基本原则.pdf
    • 6_决策分析的步骤与追踪决策.ppt
    • 7_决策分析的步骤与追踪决策.pdf
    • 8_决策分析的定性与定量方法概述.ppt
    • 9_决策分析的定性与定量方法概述.pdf
    • 10_罗伊德oSo沙普利.pdf
    • 11_AlvinE.Roth教授.pdf
    • 12_仿真决策概述.ppt
    • 13_仿真决策概述.pdf
    • 14_现金流量及货币的时间价值与计算.ppt
    • 15_现金流量及货币的时间价值与计算.pdf
    • 16_现金流量及货币的时间价值与计算.pdf
    • 17_盈亏决策分析.ppt
    • 18_盈亏决策分析.pdf
    • 19_盈亏决策分析.pdf
    • 20_无约束确定型投资决策.ppt
    • 21_无约束确定型投资决策.pdf
    • 22_无约束确定型投资决策.pdf
    • 23_多方案投资决策.ppt
    • 24_多方案投资决策.pdf
    • 25_多方案投资决策.pdf
    • 26_投资决策案例.pdf
    • 27_投资决策案例.pdf
    • 28_风险决策的期望值准则及其应用.ppt
    • 29_风险决策的期望值准则及其应用.pdf
    • 30_风险决策的期望值准则及其应用.ppt
    • 31_决策树分析方法.ppt
    • 32_决策树分析方法.pdf
    • 33_决策树分析方法.pdf
    • 34_决策树分析方法.ppt
    • 35_贝叶斯决策分析.ppt
    • 36_贝叶斯决策分析.pdf
    • 37_贝叶斯决策分析.pdf
    • 38_贝叶斯决策分析.ppt
    • 39_风险决策的灵敏度分析.ppt
    • 40_风险决策的灵敏度分析.pdf
    • 41_风险决策的灵敏度分析.pdf
    • 42_风险决策的灵敏度分析.ppt
    • 43_效用理论及风险评价.ppt
    • 44_效用理论及风险评价.pdf
    • 45_效用理论及风险评价.pdf
    • 46_赫伯特·西蒙（HerbertAlexanderSimon）.pdf
    • 47_效用理论及风险评价.ppt
    • 48_不确定型决策的基本概念.ppt
    • 49_不确定型决策的基本概念.pdf
    • 50_乐观决策准则.ppt
    • 51_乐观决策准则.pdf
    • 52_乐观决策准则.pdf
    • 53_悲观决策准则.ppt
    • 54_悲观决策准则.pdf
    • 55_悲观决策准则.pdf
    • 56_折中决策准则.ppt
    • 57_折中决策准则.pdf
    • 58_折中决策准则.pdf
    • 59_后悔值决策准则.ppt
    • 60_后悔值决策准则.pdf
    • 61_后悔值决策准则.pdf
    • 62_等概率决策准则.ppt
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    • 64_等概率决策准则.pdf
    • 65_案例分析.ppt
    • 66_案例分析.pdf
    • 67_案例分析.pdf
    • 68_多目标决策的目标准则体系.ppt
    • 69_多目标决策的目标准则体系.pdf
    • 70_多维效用并合方法.ppt
    • 71_多维效用并合方法.pdf
    • 72_多维效用并合方法.pdf
    • 73_层次分析方法.ppt
    • 74_层次分析方法.pdf
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    • 76_数据包络分析方法(DEA).ppt
    • 77_数据包络分析方法(DEA).pdf
    • 78_数据包络分析方法(DEA).pdf
    • 79_目标规划方法.ppt
    • 80_目标规划方法.pdf
    • 81_目标规划方法.pdf
    • 82_6.1多属性决策的指标体系.ppt
    • 83_多属性决策分析.pdf
    • 84_6.2多指标决策方法.ppt
    • 85_多指标决策方法.pdf
    • 86_6.3主成分分析法.ppt
  • 88.72 MB
  • 2024-2-24

  • Equivalence,Invariants and Symmetry (London Mathematical Society Lecture Note S..zip
       Equivalence, Invariants and Symmetry

    本附件包括：
    • Equivalence,Invariants and Symmetry (London Mathematical Society Lecture Note S.) Peter J. Olver.djvu
  • 4.7 MB
  • 2024-2-14

  • D S International Economics-13th.zip
       无解压密码

    本附件包括：
    • Dominick Salvatore - International Economics-Wiley (2019).pdf
  • 10.87 MB
  • 2024-1-20

  • Solutions.zip
       Albert Malvino-Electronic Principles第9版习题答案/电子原理

  • 2.8 MB
  • 2024-1-18

  • ThinkCellv12.zip

    本附件包括：
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  • 79.8 MB
  • 2023-12-28

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    本附件包括：
    • MATLAB DCT水印源程序代码.rar
    • MATLAB GUI 实例.rar
    • matlab GUI实例.rar
    • MATLAB GUI实现动态画图曲线的源程序代码.rar
    • matlab.rar
    • matlab7.0从入门到精通-光盘程序.rar
    • Matlab_车牌识别.zip
    • MATLAB光通过三稜镜色散动画.rar
    • Matlab十大算法源代码.rar
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    • MATLAB求解非线性方程组 fsolve源程序代码.rar
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  • 15.81 MB
  • 2023-11-25

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    本附件包括：
    • 00-Solving Estimating Equations With Copulas.pdf
  • 1.02 MB
  • 2023-11-12

  • ADMM动态规划求解微电网调度问题（数据集+论文复现）.zip

    本附件包括：
    • 10pro_basecase.mat
    • 10pro_load.xlsx
    • 50pro_load.xlsx
    • 5pro_load.xlsx
    • Copy_2_of_10pro_basecase.mat
    • Copy_of_ESPEdata.mat
    • Copy_of_ESPEdata_0.5.mat
    • energylvl.mat
    • ESPEdata.mat
    • ESPEdata1.mat
    • ESPEdata_0.5.mat
    • matlab.mat
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    • result_05.mat
    • result_05_load07.mat
  • 13.95 MB
  • 2023-11-9

  • Computability.And.Unsolvability_Davis_0486614719.zip
       Computability and Unsolvability

    本附件包括：
    • Computability.And.Unsolvability_Davis_0486614719.djvu
  • 1.89 MB
  • 2023-10-5

  • 融资租赁涉及方明细.zip

    本附件包括：
    • FL_InvolveParty[DES][xlsx].txt
    • FL_InvolveParty.xlsx
  • 1.38 MB
  • 2023-4-25

  • 上市公司管理者能力计算Stata代码（附2007-2021年结果）.zip

    本附件包括：
    • DEA-SOLVER-PRO13c.xlsm
    • DEA-solver pro 13软件及使用说明.zip
    • DEA结果.dta
    • 主营构成.xlsx
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    • 参考文献2：管理者能力影响企业成本粘性吗_张路.pdf
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    • 参考文献4：Managerial Ability and Earnings Quality.pdf
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  • 2022-12-1

  • 中级计量经济学-带技术进步μ的solow模型.rar
       中级计量经济学-带技术进步μ的solow模型

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  • 41.73 MB
  • 2022-11-14

  • 各地区通信服务水平(年)181450248.zip
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    本附件包括：
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  • 228.66 KB
  • 2022-8-27

  • 国际投行研究分析资料2022-01.zip

    本附件包括：
    • LVMH Moet-Hennessy Louis Vuitton (LVMH.PA)_ 1H22_ Sales +19% cFX with +6% EBIT beat; reiterate Buy, PT to EUR730 (was EUR700)(1).pdf
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    • Sichuan Swellfun Co. (600779.SS)_ Cautious Outlook Into 2H22; Maintain Neutral(1).pdf
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    • CS-Zhuzhou CRRC Times Electric Co., Ltd (3898.HK).pdf
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    • CS-Taiwan View on the news - July 25.pdf
  • 97.71 MB
  • 2022-8-8

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    本附件包括：
    • DEA-SOLVER-PRO13c.xlsm
    • DEA-solver pro 13软件及使用说明.zip
    • DEA结果.dta
    • 主营构成.xlsx
    • 参考文献1：管理者能力与企业风险承担_何威风.pdf
    • 参考文献2：管理者能力影响企业成本粘性吗_张路.pdf
    • 参考文献3：Quantifying Managerial Ability___A New Measure and Validity Tests.pdf
    • 参考文献4：Managerial Ability and Earnings Quality.pdf
    • 基础数据.xlsx
    • 基础数据整理.xlsx
    • 管理者能力.do
    • 管理者能力结果.dta
    • 管理者能力结果.xlsx
  • 39.73 MB
  • 2022-6-28

  • 战略品牌管理The luxury brand strategy challenge,Luxury and cosmic management.rar
       战略品牌管理The luxury brand strategy challenge,Luxury and cosmic management

    本附件包括：
    • Create a LV perfume 2013.ppt
    • Okonkwo (2009) - Sustaining the luxury brand on the Internet.pdf
    • Okonkwo (2009) - The luxury brand strategy challenge.pdf
    • The Collective Unconscious in Marketing Teams La marque sur le Divan (03-28-2013).pdf
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    • 7 logo(2).pdf
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    • Bibliography 2012 luxury.docx
    • Cartier instructions.pptx
  • 22.71 MB
  • 2022-4-30

  • 南开大学国际金融学- 乘数分析法.flv.rar
       南开大学国际金融学- 乘数分析法

    本附件包括：
    • 南开大学国际金融学- 乘数分析法.flv
  • 79.59 MB
  • 2022-1-21

  • 2020.rar

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    • LV路易铭轩2020招聘在线笔试完整真题及答案20191021_.pdf
    • LV路易铭轩2020招聘在线笔试完整真题及答案20190921_.pdf
  • 16.63 MB
  • 2021-12-16

  • moremata.zip

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    • mf_mm_sort.hlp
    • lmoremata11.mlib
    • mf_mm_ecdf.hlp
    • lmoremata.mlib
    • mf_mm_rbinomial.hlp
    • mf_mm_expand.hlp
    • mf_mm_integrate.hlp
    • stata.toc
    • lmoremata10.mlib
    • mf_mm_ls.hlp
    • mf_mm_prod.hlp
    • mf_mm_pieces.hlp
    • moremata11_source.hlp
    • mf_mm_mgof.hlp
    • mf_mm_strexpand.hlp
    • mf_mm_callf.hlp
    • mf_mm_invtokens.hlp
    • mf_mm_kern.hlp
    • mf_mm_matlist.hlp
    • moremata.pkg
    • readme.txt
    • mf_mm_panels.hlp
    • mf_mm_freq.hlp
    • mf_mm_colvar.hlp
    • mf_mm_gini.hlp
    • mf_mm_hdq.hlp
    • mf_mm_collapse.hlp
    • mf_mm_group.hlp
    • mf_mm_seq.hlp
    • mf_mm_ipolate.hlp
    • mf_mm_posof.hlp
    • mf_mm_density.sthlp
    • mf_mm_nobs.hlp
    • mf_mm_plot.hlp
    • mf_mm_cut.hlp
    • mf_mm_realofstr.hlp
    • mf_mm_sqrt.hlp
    • mf_mm_hl.hlp
    • mf_mm_isconstant.hlp
    • mf_mm_mloc.hlp
    • mf_mm_ebalance.sthlp
    • mf_mm_diff.hlp
    • moremata10_source.hlp
    • mf_mm_ranks.hlp
    • mf_mm_areg.hlp
    • mf_mm_relrank.hlp
    • mf_mm_which.hlp
    • mf_mm_jk.hlp
    • mf_mm_benford.hlp
    • mf_mm_ebal.sthlp
    • mf_mm_quantile.hlp
    • moremata_source.hlp
    • mf_mm_insheet.hlp
    • mf_mm_nunique.hlp
    • mf_mm_nrroot.hlp
    • mf_mm_sample.hlp
    • lmoremata14.mlib
    • mf_mm_minim.hlp
    • mf_mm_cauchy.hlp
    • mf_mm_histogram.hlp
    • mf_mm_locate.hlp
    • mf_mm_unorder2.hlp
    • mf_mm_clip.hlp
    • mf_mm_cond.hlp
    • moremata.hlp
    • mf_mm_polint.hlp
    • mf_mm_finvert.hlp
    • mf_mm_wbal.sthlp
    • mf_mm_greedy.hlp
    • mf_mm_aqreg.hlp
    • mf_mm_linbin.hlp
    • mf_mm_bs.hlp
    • mf_mm_regexr.hlp
    • mf_mm_subset.hlp
    • mf_mm_colrunsum.hlp
    • mf_mm_qr.sthlp
  • 349.88 KB
  • 2021-12-8

  • 社会网络分析, 复杂网络分析：参考文献之二.rar
       社会网络分析, 复杂网络分析：参考文献之二

    本附件包括：
    • Effects of a soft cut-off on node-degree in the Twitter social network（做算法研究可参考）.pdf
    • Emergent Leadership in Virtual Collaboration Settings- A Social Network Analysis Approach（值得读）.pdf
    • Empirical analysis of online socialnetworks in the age of Web 2.0（短平快期刊，复杂网络研究为主）.pdf
    • Empowering teams through social network ties（实证研究）.pdf
    • Evolution of a large online social network（短平快，需核实是否SCI）.pdf
    • A case study of Israeli higher-education institutes sharing scholarly information with the community via social networks.pdf
    • A framework for exploring organizational structure in dynamic social network（很不错）.pdf
    • A novel measure of edge centrality in social networks.pdf
    • A social influence model of consumer participation in network- and small-group-based virtual communities.pdf
    • A social network approach to resolving group-level conflict in context-aware services.pdf
    • A social network perspective of tourism research collaborations（与位置服务结合是否可有新的结果）.pdf
    • A social network-based system for supporting interactive collaboration in knowledge sharing over peer-to-peer network（可参考）.pdf
    • A social status perspective of network utility over electronic channels in academic communities（经典实证研究）.pdf
    • A synthesis of semantic social network and attraction theory for innovating community-based e-service.pdf
    • A theoretical model of intentional social action in online social networks（数据分析类文章可参考）.pdf
    • An empirical study of the factors affecting social network service use（韩国人做的实证）.pdf
    • An e-patient’s End-user community (EUCY)- The value added of social network applications.pdf
    • Analysis of virtual communities supporting OSS projects using social network analysis（很好）.pdf
    • Architectural platform- a social network site for architects.pdf
    • Behavior-based analysis of knowledge dissemination channels in operations management （和运作管理结合研究）.pdf
    • Bridging the Gap—Data Mining and Social Network Analysis for Integrating Semantic Web and Web 2.0.pdf
    • BSN- An automatic generation algorithm of social network data（把该方法搞懂并用于研究中）.pdf
    • Building a Knowledge Brokering System using social network analysis- A case study of the Korean financial industry（有模仿价值）.pdf
    • Communities of Public Service Support- Citizens engage in social learning in peer-to-peer networks（比较特殊的一篇文章，可看看）.pdf
    • Competitivity groups on social network sites（短小，可参考）.pdf
    • Cultural difference in motivations for using social network sites- A comparative study of American and Korean college students（实证）.pdf
    • Discovering cohesive subgroups from social networks for targeted advertising（文献回顾可用）.pdf
    • Dissemination of health information through social networks- Twitter and antibiotics（微博类研究参考）.pdf
  • 15.4 MB
  • 2021-10-31

  • nifty50.zip

    本附件包括：
    • HINDUNILVR.NS.csv
    • ADANIPORTS.NS.csv
    • ASIANPAINT.NS.csv
    • AXISBANK.NS.csv
    • BAJAJ-AUTO.NS.csv
    • BAJAJFINSV.NS.csv
    • BAJFINANCE.NS.csv
    • BHARTIARTL.NS.csv
    • BPCL.NS.csv
    • BRITANNIA.NS.csv
    • CIPLA.NS.csv
    • COALINDIA.NS.csv
    • DIVISLAB.NS.csv
    • DRREDDY.NS.csv
    • EICHERMOT.NS.csv
    • GRASIM.NS.csv
    • HCLTECH.NS.csv
    • HDFC.NS.csv
    • HDFCBANK.NS.csv
    • HDFCLIFE.NS.csv
    • HEROMOTOCO.NS.csv
    • HINDALCO.NS.csv
    • ICICIBANK.NS.csv
    • INDUSINDBK.NS.csv
    • INFY.NS.csv
    • IOC.NS.csv
    • ITC.NS.csv
    • JSWSTEEL.NS.csv
    • KOTAKBANK.NS.csv
    • LT.NS.csv
    • M&M.NS.csv
    • MARUTI.NS.csv
    • NESTLEIND.NS.csv
    • NTPC.NS.csv
    • ONGC.NS.csv
    • POWERGRID.NS.csv
    • RELIANCE.NS.csv
    • SBILIFE.NS.csv
    • SBIN.NS.csv
    • SHREECEM.NS.csv
    • SUNPHARMA.NS.csv
    • TATACONSUM.NS.csv
    • TATAMOTORS.NS.csv
    • TATASTEEL.NS.csv
    • TCS.NS.csv
    • TECHM.NS.csv
    • TITAN.NS.csv
    • ULTRACEMCO.NS.csv
    • UPL.NS.csv
    • WIPRO.NS.csv
  • 2.46 MB
  • 2021-9-16

  • dax30.zip

    本附件包括：
    • ALV.DE.csv
    • 1COV.DE.csv
    • ADS.DE.csv
    • BAS.DE.csv
    • BAYN.DE.csv
    • BEI.DE.csv
    • BMW.DE.csv
    • DAI.DE.csv
    • DB1.DE.csv
    • DBK.DE.csv
    • DHER.DE.csv
    • DPW.DE.csv
    • DTE.DE.csv
    • DWNI.DE.csv
    • EOAN.DE.csv
    • FME.DE.csv
    • FRE.DE.csv
    • HEI.DE.csv
    • HEN3.DE.csv
    • IFX.DE.csv
    • LIN.DE.csv
    • MRK.DE.csv
    • MTX.DE.csv
    • MUV2.DE.csv
    • RWE.DE.csv
    • SAP.DE.csv
    • SIE.DE.csv
    • VNA.DE.csv
    • VOW3.DE.csv
  • 1.28 MB
  • 2021-9-16

  • 2010年2021年9月的印度NIFTY50 成分股票日线数据（未复权）(CSV格式).zip

    本附件包括：
    • HINDUNILVR.NS.csv
    • ADANIPORTS.NS.csv
    • ASIANPAINT.NS.csv
    • AXISBANK.NS.csv
    • BAJAJ-AUTO.NS.csv
    • BAJAJFINSV.NS.csv
    • BAJFINANCE.NS.csv
    • BHARTIARTL.NS.csv
    • BPCL.NS.csv
    • BRITANNIA.NS.csv
    • CIPLA.NS.csv
    • COALINDIA.NS.csv
    • DIVISLAB.NS.csv
    • DRREDDY.NS.csv
    • EICHERMOT.NS.csv
    • GRASIM.NS.csv
    • HCLTECH.NS.csv
    • HDFC.NS.csv
    • HDFCBANK.NS.csv
    • HDFCLIFE.NS.csv
    • HEROMOTOCO.NS.csv
    • HINDALCO.NS.csv
    • ICICIBANK.NS.csv
    • INDUSINDBK.NS.csv
    • INFY.NS.csv
    • IOC.NS.csv
    • ITC.NS.csv
    • JSWSTEEL.NS.csv
    • KOTAKBANK.NS.csv
    • LT.NS.csv
    • M&M.NS.csv
    • MARUTI.NS.csv
    • NESTLEIND.NS.csv
    • NTPC.NS.csv
    • ONGC.NS.csv
    • POWERGRID.NS.csv
    • RELIANCE.NS.csv
    • SBILIFE.NS.csv
    • SBIN.NS.csv
    • SHREECEM.NS.csv
    • SUNPHARMA.NS.csv
    • TATACONSUM.NS.csv
    • TATAMOTORS.NS.csv
    • TATASTEEL.NS.csv
    • TCS.NS.csv
    • TECHM.NS.csv
    • TITAN.NS.csv
    • ULTRACEMCO.NS.csv
    • UPL.NS.csv
    • WIPRO.NS.csv
  • 2.46 MB
  • 2021-9-12

  • 2010年2021年9月的德国DAX30 成分股票日线数据（未复权）(CSV格式).zip

    本附件包括：
    • ALV.DE.csv
    • 1COV.DE.csv
    • ADS.DE.csv
    • BAS.DE.csv
    • BAYN.DE.csv
    • BEI.DE.csv
    • BMW.DE.csv
    • DAI.DE.csv
    • DB1.DE.csv
    • DBK.DE.csv
    • DHER.DE.csv
    • DPW.DE.csv
    • DTE.DE.csv
    • DWNI.DE.csv
    • EOAN.DE.csv
    • FME.DE.csv
    • FRE.DE.csv
    • HEI.DE.csv
    • HEN3.DE.csv
    • IFX.DE.csv
    • LIN.DE.csv
    • MRK.DE.csv
    • MTX.DE.csv
    • MUV2.DE.csv
    • RWE.DE.csv
    • SAP.DE.csv
    • SIE.DE.csv
    • VNA.DE.csv
    • VOW3.DE.csv
  • 1.28 MB
  • 2021-9-12

  • 2011204data.zip
       Supplemental Material

    本附件包括：
    • Calibrate.m
    • ChadMatlab.zip
    • Consumption.m
    • getells0.m
    • HealthOECD.m
    • HealthRNDShare.m
    • NSF-AllYears-IndustrialRND.xls
    • OECDHealthData2012.xls
    • oecdhealth.m
    • PatentFigureFromJeffClemens.xls
    • Patents.m
    • README
    • solvetransition.m
    • STAN-HealthRND.xls
    • Transition4.m
    • transit1dx.m
  • 693.65 KB
  • 2021-9-10

  • moremata.zip
       moremata命令缺少的命令包，放在stata/ado/updates里面就可以了

    本附件包括：
    • moremata14_source.hlp
    • mf_mm_root.hlp
    • mf_mm_ddens.hlp
    • mf_mm_sort.hlp
    • lmoremata11.mlib
    • mf_mm_ecdf.hlp
    • lmoremata.mlib
    • mf_mm_rbinomial.hlp
    • mf_mm_expand.hlp
    • mf_mm_integrate.hlp
    • stata.toc
    • lmoremata10.mlib
    • mf_mm_prod.hlp
    • mf_mm_pieces.hlp
    • moremata11_source.hlp
    • mf_mm_mgof.hlp
    • mf_mm_strexpand.hlp
    • mf_mm_callf.hlp
    • mf_mm_invtokens.hlp
    • mf_mm_kern.hlp
    • mf_mm_matlist.hlp
    • moremata.pkg
    • readme.txt
    • mf_mm_panels.hlp
    • mf_mm_freq.hlp
    • mf_mm_colvar.hlp
    • mf_mm_gini.hlp
    • mf_mm_collapse.hlp
    • mf_mm_group.hlp
    • mf_mm_seq.hlp
    • mf_mm_ipolate.hlp
    • mf_mm_posof.hlp
    • mf_mm_density.sthlp
    • mf_mm_nobs.hlp
    • mf_mm_plot.hlp
    • mf_mm_cut.hlp
    • mf_mm_realofstr.hlp
    • mf_mm_sqrt.hlp
    • mf_mm_hl.hlp
    • mf_mm_isconstant.hlp
    • mf_mm_mloc.hlp
    • mf_mm_diff.hlp
    • moremata10_source.hlp
    • mf_mm_ranks.hlp
    • mf_mm_relrank.hlp
    • mf_mm_which.hlp
    • mf_mm_jk.hlp
    • mf_mm_benford.hlp
    • mf_mm_ebal.sthlp
    • mf_mm_quantile.hlp
    • moremata_source.hlp
    • mf_mm_insheet.hlp
    • mf_mm_nunique.hlp
    • mf_mm_nrroot.hlp
    • mf_mm_sample.hlp
    • lmoremata14.mlib
    • mf_mm_minim.hlp
    • mf_mm_cauchy.hlp
    • mf_mm_histogram.hlp
    • mf_mm_locate.hlp
    • mf_mm_unorder2.hlp
    • mf_mm_clip.hlp
    • mf_mm_cond.hlp
    • moremata.hlp
    • mf_mm_polint.hlp
    • mf_mm_finvert.hlp
    • mf_mm_greedy.hlp
    • mf_mm_linbin.hlp
    • mf_mm_bs.hlp
    • mf_mm_regexr.hlp
    • mf_mm_subset.hlp
    • mf_mm_colrunsum.hlp
  • 288.14 KB
  • 2021-9-9

  • applied_micro_methods(2).zip

    本附件包括：
    • Econometric Methods for Program Evaluation.pdf
    • Efficient Estimation for Staggered Rollout Designs.pdf
    • Errors in the Dependent Variable of Quantile Regression Models.pdf
    • Estimating Dynamic Treatment Effects in Event Studies with Heterogeneous Treatment Effect.pdf
    • External Validity in Fuzzy Regression Discontinuity Designs.pdf
    • Extremal Quantile Regressions for Selection Models and the Black-White Wage Gap（2014)..pdf
    • Extremal Quantile Regressions for Selection Models and the Black-White Wage Gap（2018)..pdf
    • Factorial Designs, Model Selection,and (Incorrect) Inference in Randomized Experiments.pdf
    • Fuzzy Differences-in-Differences（2012）..pdf
    • Fuzzy Differences-in-Differences（2017）..pdf
    • How Much Should We Trust Staggered DID Estimates.pdf
    • Identification and Extrapolation with IV.pdf
    • Inference in Differences-in-Differences with Few Treated Groups and Heteroskedasticity.pdf
    • Inference in Instrumental Variable Analysis with Heterogeneous Treatment Effects.pdf
    • Inference in Linear Regression Models with Many Covariates and Heteroscedasticity.pdf
    • Inference in Regression Discontinuity Designs with a Discrete Running Variable.pdf
    • Inference with Arbitrary Clustering.pdf
    • Inference with DID Revisited.pdf
    • Inference with Few Heterogeneous Clusters(Paper).pdf
    • Inference with Few Heterogeneous Clusters(PPT).pdf
    • Instrument-based estimation with binarized treatments_Issues and tests for the exclusion restriction.pdf
    • Instruments with Heterogeneous Effects_Bias, Monotonicity, and Localness.pdf
    • Interpreting OLS Estimands When Treatment Effects Are Heterogeneous_Smaller Groups Get Larger Weights.pdf
    • Kleven, H. J. (2016). Bunching. Annual Review of Economics 8, 435–464..pdf
    • Matching Methods for Causal Inference with Time-Series Cross-Section Data.pdf
    • Matrix Completion Methods for Causal Panel Data Models..pdf
    • Network and Panel Quantile Effects via Distribution Regression..pdf
    • Non-random exposure to exogenous shocks-Theory and Applications.pdf
    • Nonparametric Bounds for Causal Effects in Imperfect Randomized Experiments.pdf
    • On Bunching and Identification of the Taxable Income Elasticity.pdf
    • On Estimating Multiple Treatment Effects with Regression.pdf
    • On the Role of Covariates in the Synthetic Control Method.pdf
    • On_Event_Studies_and_Distributed_Lags_in_Two_Way_Fixed_Effects_Models.pdf
    • Optimal Bandwidth Choice for Robust Bias-Corrected Inference in Regression Riscontinuity Designs..pdf
    • Optimal Inference in a Class of Regression Models..pdf
    • Optimized Regression Discontinuity Designs.pdf
    • Panel Data and Experimental Design..pdf
    • Policy Evaluation with Multiple Instrumental Variables.pdf
    • Pre-event Trends in the Panel Event-Study Design.pdf
    • Quantile Treatment Effects in Difference in Differences Models under Dependence Restrictions and with Only Two Time Periods..pdf
    • Quantile treatment effects in difference in differences models with panal data.pdf
    • Quasi-Experimental Shift-Share Research Designs.pdf
    • Regression Discontinuity Designs Using Covariates..pdf
    • Revisiting Event Study Designs_Robust and Efficient Estimatation.pdf
    • Robust Standard Errors in Small Samples_Some Practical Advice.pdf
    • Sampling-Based Versus Design-Based Uncertainty in Regression Analysis..pdf
    • Shift-Share Designs_Theory and Inference..pdf
    • Simple and Honest Confidence Intervals in Non-parametric Regression..pdf
    • Simple local polynomial density estimators..pdf
    • Simultaneous Selection of Optimal Bandwidths for the Sharp Regression Discontinuity Estimator..pdf
    • Small Sample Methods for Cluster Robust Variance Estimation and Hypothesis Testing in Fixed Effects Models.pdf
    • Small-Sample Methods for Cluster-Robust Variance Estimation and Hypothesis Testing in Fixed Effects Models.pdf
    • Sufficient Statistics Revisited.pdf
    • Synthetic Controls with Imperfect Pre-Treatment Fit..pdf
    • Synthetic Controls with Staggered Adoption.pdf
    • Synthetic Difference in Differences.pdf
    • Testing continuity of a density via g-order statistics in the regression discontinuity design.pdf
    • Testing Treatment Effect Heterogeneity in Regression Discontinuity Designs.pdf
    • The Augmented Synthetic Control.pdf
    • The casual interpretation of two-stage least squares with multiple instrumental variables.pdf
    • The Effect of Minimum Wages on Low-Wage Jobs..pdf
    • The Generalized Oaxaca-Blinder Estimator.pdf
    • The Role of Parallel Trends in Event Study Settings_An Application to Environmental Economics.pdf
    • The Wild Bootstrap with a Small Number of Large Clusters.pdf
    • Two-Stage Differences-in-Differences.pdf
    • Two-Way Fixed Effects Estimators with Heterogeneous Treatment Effects.pdf
    • Two-Way Fixed Effects, the Two-Way Mundlak Regression, and DID Estimators.pdf
    • Unbiased Instrumental Variables Estimation under Known First-Stage Sign..pdf
    • Using instrumental variables for inference about policy relevant treatment parameters.pdf
    • Using Synthetic Controls_Feasibility, Data Requirements, and Methodological Aspects.pdf
    • Valid t-ratio Inference for IV.pdf
    • Visualization, Identification, and Estimation in the Linear Panel Event-Study Design.pdf
    • Weak Instruments in Instrumental Variables Regression_Theory and Practice.pdf
    • Weak Instruments in IV Regression_Theory and Practice.pdf
    • Weak-instrument robust inference for two-sample instrumentalvariables regression.pdf
    • Weak-Instrument Robust Inference for Two-Sample IV Regression.pdf
    • When Is Parallel Trends Sensitive to Functional Form.pdf
    • When Should We (Not) Interpret Linear IV Estimands as LATE.pdf
    • When Should You Adjust Standard Errors for Clustering.pdf
    • Why High Order Polynomials Should Not Be Used in Regression Discontinuity Designs.pdf
  • 81.25 MB
  • 2021-9-7

  • InstallVensimPLE.dmg.zip

    本附件包括：
    • InstallVensimPLE.dmg
  • 47.15 MB
  • 2021-7-3

  • Deep Learning with R Cookbook-2020.rar
       Deep Learning with R Cookbook-2020

    本附件包括：
    • Deep Learning with R Cookbook Over 45 unique recipes to delve into neural network techniques using R 3.5.x by Swarna Gupta.pdf
  • 13.24 MB
  • 2021-6-20

  • 追踪模型，交叉滞后.flv.rar
       追踪模型，交叉滞后模型

    本附件包括：
    • 追踪模型，交叉滞后.flv
  • 71.55 MB
  • 2021-6-1

  • AFM Marketing brochures_final.zip

    本附件包括：
    • Company Introduction.pdf
    • Consulting & Advisory Service.pdf
    • IFRS 17.pdf
    • R3S ALM.pdf
    • R3S Modeler.pdf
    • R3S Process Manager.pdf
    • R3S Software Suite.pdf
    • R3S Solvency II.pdf
    • R3S Standard Code.pdf
    • R3S Toolkit.pdf
  • 6.5 MB
  • 2021-4-22

  • 中国保险会计研究中心.zip

    本附件包括：
    • 1 IFRS 17发布的意义.pdf
    • 10 可变费用法.pdf
    • 11 可变费用法案例.pdf
    • 12 保险公司综合收益的列报.pdf
    • 13 保险公司综合收益列报的举例说明.pdf
    • 14 IFRS17与IFRS9的相互影响.pdf
    • 15 IFRS17与Solvency II.pdf
    • 2 什么是保险合同.pdf
    • 3 混合保险合同的拆分.pdf
    • 4 保险合同的初始确认.pdf
    • 5 保险合同计量模型分类.pdf
    • 6 保险合同计量的通用模型及其初始计量.pdf
    • 7 保险合同通用计量模型的后续计量 .pdf
    • 8 保险合同通用模型的后续计量例子.pdf
    • 9 保费分配法.pdf
  • 50.72 MB
  • 2021-3-19

  • deap+deaslover分享.zip

    本附件包括：
    • DEA SOLVER5.0.zip
    • Deap 2.1软件的具体操作和结果分析.rar
    • deap xp(有中文教程).rar
    • DEAP_2.1.zip
    • DEAP操作视频.wmv
  • 15.89 MB
  • 2021-3-8

  • Larson 10e small.pdf
       Calculus 10e Ron Larson The Pennsylvania State University The Behrend College Bruce Edwards Universi ...

  • 70.18 MB
  • 2020-10-1

  • tk41zip.zip
       uhlig toolkit matlab code

    本附件包括：
    • calc_qrs.m
    • do_it.m
    • enlarge.m
    • exampl0.m
    • exampl1.m
    • exampl2.m
    • exampl3.m
    • exampl4.m
    • exampl5.m
    • exampl6.m
    • exampl7.m
    • hp_filter.m
    • impresp.m
    • mom_out.m
    • moments.m
    • options.m
    • qzdiv.m
    • qzswitch.m
    • readme.m
    • sim_out.m
    • simul.m
    • sol_out.m
    • solve.m
    • solve_qz.m
    • whatsnew.m
  • 55.94 KB
  • 2020-9-24

  • 《Problem Solving with Algorithms and Data Structures Using Python SECOND EDITIO.rar

    本附件包括：
    • 《Problem Solving with Algorithms and Data Structures Using Python SECOND EDITION 》.pdf
  • 3.97 MB
  • 2020-9-4

  • Seventy Five (Thousand) Unsolved Problems in Analysis and Partial Differential E.rar

    本附件包括：
    • Seventy Five (Thousand) Unsolved Problems in Analysis and Partial Differential Equations.pdf
  • 450.73 KB
  • 2020-8-18

  • 54 多元线性模型的估计、检验以及经济上的解释（九）.rar
       9

    本附件包括：
    • 54 多元线性模型的估计、检验以及经济上的解释（九）.flv
  • 43.51 MB
  • 2020-7-12

  • 53 多元线性模型的估计、检验以及经济上的解释（八）.rar
       8

    本附件包括：
    • 53 多元线性模型的估计、检验以及经济上的解释（八）.flv
  • 45.19 MB
  • 2020-7-12

  • 52 多元线性模型的估计、检验以及经济上的解释（七）.rar
       7

    本附件包括：
    • 52 多元线性模型的估计、检验以及经济上的解释（七）.flv
  • 45.27 MB
  • 2020-7-12

  • 51 多元线性模型的估计、检验以及经济上的解释（六）.rar
       6

    本附件包括：
    • 51 多元线性模型的估计、检验以及经济上的解释（六）.flv
  • 47.33 MB
  • 2020-7-12

  • 50 多元线性模型的估计、检验以及经济上的解释（五）.rar
       5

    本附件包括：
    • 50 多元线性模型的估计、检验以及经济上的解释（五）.flv
  • 37.74 MB
  • 2020-7-12

  • 49 多元线性模型的估计、检验以及经济上的解释（四）.rar
       4

    本附件包括：
    • 49 多元线性模型的估计、检验以及经济上的解释（四）.flv
  • 42.43 MB
  • 2020-7-12

  • 48 多元线性模型的估计、检验以及经济上的解释（三）.rar
       3

    本附件包括：
    • 48 多元线性模型的估计、检验以及经济上的解释（三）.flv
  • 52.89 MB
  • 2020-7-12

  • 47 多元线性模型的估计、检验以及经济上的解释（二）.rar
       2

    本附件包括：
    • 47 多元线性模型的估计、检验以及经济上的解释（二）.flv
  • 39.71 MB
  • 2020-7-12

  • 46 多元线性模型的估计、检验以及经济上的解释（一）.rar
       1

    本附件包括：
    • 46 多元线性模型的估计、检验以及经济上的解释（一）.flv
  • 42.01 MB
  • 2020-7-12

  • DEA-SOLVER-LV8(2014-12-05).zip

    本附件包括：
    • DEA-SOLVER-LV8(2014-12-05).xlsm
  • 917.05 KB
  • 2020-7-9

  • DEA.zip

    本附件包括：
    • Example.xlsx
    • ReadMeFirst.pdf
    • DEAFrontierFree.xlam
    • DEAFrontierFree_SolverPlatform.xla
    • DEAFrontierFreeOpenSolver.xlam
    • DataSheetFormat.pdf
    • Laptop_example_Appendix.xlsx
  • 861.12 KB
  • 2020-7-5

  • alvarez2015.Lean design for Six Sigma.rar

    本附件包括：
    • alvarez2015.Lean design for Six Sigma.pdf
  • 338.44 KB
  • 2020-6-14

  • 252-1117-1-SP.zip
       model

    本附件包括：
    • TVP_VAR_MH_final_corrected_dec13.m
    • TVP_VAR_MH_Prior_final.m
    • TVP_VAR_MH_revised_main.m
    • vare.m
    • wish.m
    • apm.m
    • beta_inv.m
    • beta_pdf.m
    • bfgsi.m
    • carter_kohn_hom2.m
    • carter_kohn1.m
    • chis_prb.m
    • coda.m
    • convcheck.m
    • corrvc.m
    • csminit.m
    • csminwel.m
    • csolve.m
    • Data_US_Q.mat
    • draw_alpha_a_MH_constant.m
    • draw_alpha_a_MH_TVP.m
    • draw_alpha_a_MH_TVP_dec13.m
    • draw_beta_conditional.m
    • draw_beta_conditional_constant.m
    • draw_beta_conditional_hierarchical.m
    • draw_beta_conditional_lr.m
    • draw_beta_conditional_reparametrized.m
    • draw_beta_conditional_single.m
    • draw_sigma_constant.m
    • draw_sigma_constant_corrected.m
    • draw_sigma_TVP.m
    • draw_sigma_TVP_corrected.m
    • draw_sigma_TVP_corrected_GARCH.m
    • draw_sigma_TVP_corrected_GARCH2.m
    • draw_sign_restrictions.m
    • empquant.m
    • Example.m
    • exp_approx.m
    • fdis_prb.m
    • g1.mat
    • H.dat
    • ident_SZ06_alt.prn
    • indtest.m
    • inv_wishpdf.m
    • keep.m
    • logdet.m
    • loglike_svar_AB.m
    • mcest.m
    • mctest.m
    • MDD_TVP_SVAR_Harmonic_final.m
    • mlag.m
    • mlag2.m
    • momentg.m
    • mprint.m
    • mvnpdf.m
    • mvnrnd.m
    • norm_rnd.m
    • numgrad.m
    • ols.m
    • ppnd.m
    • prior_ML_final_40_2_1_2_1_20_0.mat
    • prt_coda.m
    • quantile.m
    • raftery.m
    • Readme.xlsx
    • round2.m
    • sacf.m
    • tdis_inv.m
    • tdis_prb.m
    • thin.m
    • transx.m
    • trimr.m
    • TVP_VAR_MH_Figures_final.m
    • TVP_VAR_MH_final.m
    • TVP_VAR_MH_final_corrected.m
    • Supplementary.pdf
    • paper.pdf
  • 875.88 KB
  • 2020-5-25

  • 05_小报告-22份.zip
       投资咨询参考学习资料

    本附件包括：
    • 2020年Q1奢侈品集团LVMH财报（英文）-2020.4.16-9页.pdf
    • 2020年第一季度奢侈巨头开云集团业绩财报（英文）-2020.4.21-15页.pdf
    • IAS-消费者对冠状病毒：广告相邻性的考虑报告（英文）-2020.3-11页.pdf
    • NIFAC-中国区块链金融应用与发展研究报告（2020）-2020.4-17页.pdf
    • 中证指数-2019 年核心指数第二次定期调整 指数效应分析-2020.4-18页.pdf
    • 中诚信国际-2020年一季度中资美元债市场报告-2020.4.20-10页.pdf
    • 巨量引擎&穿山甲-穿山甲流量变现白皮书-移动社交行业-2020.4-17页.pdf
    • 德勤-金融机构应对数字化转型之九大挑战-2020.4-16页.pdf
    • 戴德梁行-后疫情时期武汉房地产市场发展趋势预判-2020.4-18页.pdf
    • 戴德梁行-新冠肺炎疫情后的复苏 3 — 居家远程办公及其影响-2020.3-16页.pdf
    • 戴德梁行-新冠肺炎疫情后的复苏 4 — 中国的工业4.0-2020.3-14页.pdf
    • 戴德梁行-新冠肺炎疫情后的复苏 8 — 中国的数据中心正迅速扩张-2020.4-18页.pdf
    • 戴德梁行-新冠肺炎疫情后的复苏1-政府出台政策全力支持企业，尤其是 房地产企业，共渡难关-2020.2-14页.pdf
    • 新世纪评级-债券市场利率水平持续下行——2020年3月债券市场利率分析及展望-2020.4-6页.pdf
    • 新世纪评级-扩大基建投资有利于后疫情时期经济的稳定增长-2020.4-9页.pdf
    • 明树数据-民企与国企融资现状对比-2020.4-12页.pdf
    • 普华永道-2020年第一季度亚太地区金融服务行业并购交易季度回顾-2020.4-11页.pdf
    • 普华永道-突围升级，数字化助推后疫情时代保险行业渠道转型-2020.4-18页.pdf
    • 清华大学-挑战者银行研究报告-2020.3-18页.pdf
    • 环球旅讯-住宿业数字技术图景展示 3.0 2-2020.4-18页.pdf
    • 联合信用评级-后疫情时代，我国原料药行业面临机遇下的隐忧-2020.4-8页.pdf
    • 联合资信-新冠肺炎疫情对铁路运输行业的影响-2020.4-6页.pdf
  • 65.08 MB
  • 2020-5-21

  • Excel2019InsideOutCompanionFiles.zip
       Source Code

    本附件包括：
    • 28-PowerBISampleData.xlsx
    • 01-NewFeatures.xlsx
    • 02-ExcelInterface.xlsm
    • 03-CustomizeExcel.xlsx
    • 04-KeyboardShortcuts.xlsm
    • 05-Formulas.xlsm
    • 06-Formulas.xlsm
    • 07-UnderstandingFunctions.xlsx
    • 08-Dates.xlsm
    • 08-Sum.xlsm
    • 08-TextFunctions.xlsm
    • 09-Cell.xlsm
    • 09-DatabaseFunctions.xlsm
    • 09-Formulas.xlsm
    • 09-IsFunctions.xlsm
    • 09-LinkedData.xlsm
    • 09-Logical.xlsm
    • 09-Lookup.xlsm
    • 09-NA.xlsm
    • 09-YTD.xlsm
    • 10-OtherFunctions.xlsm
    • 11-Link To Me.xlsm
    • 11-LinkingWorksheetsA.xlsm
    • 11-LinkSyntax.xlsm
    • 11-LinkToMissing.xlsm
    • 11-ReadMeForInfo.xlsx
    • 12-ArrayFormulas.xlsm
    • 12-CreateNames.xlsm
    • 12-FromSelection.xlsm
    • 12-MonsterFormulas.xlsm
    • 12-PreviousSheet.xlsm
    • 12-SpearingFormula.xlsm
    • 12-Transpose.xlsm
    • 13-PowerQuery.xlsm
    • 13-UglyData.xlsm
    • 14-Filtering.xlsm
    • 14-Subtotals.xlsx
    • 15-PivotTables.xlsx
    • 16-Slicers.xlsx
    • 17-PowerPivot.xlsm
    • 18-Scenario.xlsm
    • 18-WhatIf.xlsm
    • 19-Customers.xlsm
    • 19-Invoices.xlsx
    • 19-Looping.xlsm
    • 19-MacroToImportInvoices.xlsm
    • 19-MailingList.xlsm
    • 20-Tips.xlsm
    • 21-FormattingExamples.xlsm
    • 21-ThemeApex.xlsm
    • 21-Themes.xlsm
    • 22-DataVisualizations.xlsx
    • 23-Charting.xlsm
    • 23-Charting2.xlsm
    • 24-CornProduction.xlsm
    • 24-CustomMap.xlsm
    • 24-FloridaCity.xlsm
    • 24-MapTwoLayers.xlsm
    • 24-PowerMapFlight.xlsx
    • 24-PowerMapHomeSearch.xlsm
    • 24-StoreMap.jpg
    • 25-Sparklines.xlsm
    • 26-3DModel.xlsx
    • 26-Art.xlsx
    • 26-Pictures.xlsm
    • 27-Printing.xlsm
    • 27-Solver.xlsx
    • 27-WillItRender.xlsm
    • 28-PowerBI.pbix
  • 18.42 MB
  • 2020-5-8

  • Simulink_Verification_and_Validation23.zip
       8

    本附件包括：
    • prodinfo.enc
    • slvnv.enc
  • 9.08 MB
  • 2020-5-2

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       一个加了宏的excel，一个解释文档

    本附件包括：
    • 计算区位熵3.xlsm
    • 区位熵计算方法的说明.docx
  • 37.73 KB
  • 2020-4-5

  • jplv7.rar
       matlab的时间序列模型程序包

  • 5.91 MB
  • 2020-4-1

  • files_matlab_spatial_modeling.zip

    本附件包括：
    • beta_cdf.m
    • beta_prior.m
    • beta_rnd.m
    • chis_prb.m
    • cigarette.xls
    • cigar_states.xls
    • Course2016cigarette.m
    • Data_cigarette_demand.mat
    • demean.m
    • demeanF.m
    • direct_indirect_effects_estimates.m
    • f2_sacpanel.m
    • f2_sarpanel.m
    • f2_sempanel.m
    • f_sacpanel.m
    • f_sarpanel.m
    • f_sempanel.m
    • invpd.m
    • lndetexact.m
    • lndetfull.m
    • lndetint.m
    • lndetmc.m
    • log_marginal_panelprob.m
    • log_marginal_panelvec.m
    • matdiv.m
    • matsub.m
    • mprint.m
    • normw.m
    • norm_pdf.m
    • norm_prb.m
    • norm_rnd.m
    • ols.m
    • prt_reg.m
    • prt_sp.m
    • sac_panel_FE.m
    • sar_eigs.m
    • sar_lndet.m
    • sar_panel_FE.m
    • sar_parse.m
    • sem_eigs.m
    • sem_lndet.m
    • sem_panel_FE.m
    • sem_parse.m
    • Solmaria_logmarginal.m
    • Spat-Sym-US.xls
    • startfile.m
    • stdn_pdf.m
    • tdis_prb.m
    • W_cigarette_demand.mat
  • 210.21 KB
  • 2020-3-29

  • Matlab进行LM检验LR检验Wald检验.rar

    本附件包括：
    • jplv7.zip
    • Matlab空间计量软件包.zip
    • matlab使用步骤——LM-LR-Wald检验.doc
    • SPSEModels.zip
  • 19.12 MB
  • 2020-3-12

  • DEA-SOLVER Pro5.zip
       不知道怎么删帖，不换币了！

    本附件包括：
    • DEA SOLVER操作视频.wmv
    • DEA-SOLVER Pro5.0.xls
    • DEA-Solver_Demo.pptx
  • 7.73 MB
  • 2020-3-5

  • the handbook of experimental economics【John H. Kagel & Alvin E. Roth】（Princ.zip

    本附件包括：
    • the handbook of experimental economics【John H. Kagel & Alvin E. Roth】（Princeton University Press，2015）.pdf
  • 9.21 MB
  • 2020-2-25

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       moremata.zip 安装包

    本附件包括：
    • moremata14_source.hlp
    • mf_mm_root.hlp
    • lmoremata11.mlib
    • mf_mm_ecdf.hlp
    • lmoremata.mlib
    • mf_mm_rbinomial.hlp
    • mf_mm_expand.hlp
    • mf_mm_integrate.hlp
    • stata.toc
    • lmoremata10.mlib
    • mf_mm_pieces.hlp
    • moremata11_source.hlp
    • mf_mm_mgof.hlp
    • mf_mm_strexpand.hlp
    • mf_mm_callf.hlp
    • mf_mm_invtokens.hlp
    • mf_mm_kern.hlp
    • mf_mm_matlist.hlp
    • moremata.pkg
    • readme.txt
    • mf_mm_panels.hlp
    • mf_mm_freq.hlp
    • mf_mm_colvar.hlp
    • mf_mm_gini.hlp
    • mf_mm_collapse.hlp
    • mf_mm_ipolate.hlp
    • mf_mm_posof.hlp
    • mf_mm_nobs.hlp
    • mf_mm_plot.hlp
    • mf_mm_cut.hlp
    • mf_mm_realofstr.hlp
    • mf_mm_sqrt.hlp
    • mf_mm_isconstant.hlp
    • moremata10_source.hlp
    • mf_mm_which.hlp
    • mf_mm_jk.hlp
    • mf_mm_benford.hlp
    • mf_mm_ebal.sthlp
    • mf_mm_quantile.hlp
    • moremata_source.hlp
    • mf_mm_insheet.hlp
    • mf_mm_nunique.hlp
    • mf_mm_nrroot.hlp
    • mf_mm_sample.hlp
    • lmoremata14.mlib
    • mf_mm_cauchy.hlp
    • mf_mm_histogram.hlp
    • mf_mm_locate.hlp
    • mf_mm_unorder2.hlp
    • mf_mm_cond.hlp
    • moremata.hlp
    • mf_mm_polint.hlp
    • mf_mm_finvert.hlp
    • mf_mm_greedy.hlp
    • mf_mm_linbin.hlp
    • mf_mm_bs.hlp
    • mf_mm_regexr.hlp
    • mf_mm_subset.hlp
    • mf_mm_colrunsum.hlp
  • 188.8 KB
  • 2020-1-21

  • 家族企业指标汇总.zip

    本附件包括：
    • FamFirm_AssetsToPay[DES][xlsx].txt
    • FamFirm_CashPayment[DES][xlsx].txt
    • FamFirm_Contrshr[DES][xlsx].txt
    • FamFirm_EduBack[DES][xlsx].txt
    • FamFirm_FamFInfo[DES][xlsx].txt
    • FamFirm_FinIndex[DES][xlsx].txt
    • FamFirm_InvExit[DES][xlsx].txt
    • FamFirm_InvolvedParty[DES][xlsx].txt
    • FamFirm_LCDomForApply[DES][xlsx].txt
    • FamFirm_OFDI[DES][xlsx].txt
    • FamFirm_OverseasIncome[DES][xlsx].txt
    • FamFirm_StockPayment[DES][xlsx].txt
    • FamFirm_Structure[DES][xlsx].txt
    • FamFirm_TradingMain[DES][xlsx].txt
    • FamFirm_Underlying[DES][xlsx].txt
  • 20.29 KB
  • 2019-11-20

  • 01留学教父俞洪敏出国计划.zip

    本附件包括：
    • 留学教父俞洪敏出国计划.flv
  • 56.51 MB
  • 2019-11-14

  • TheManWhoSolvedtheMarket-GregoryZuckerman.zip

    本附件包括：
    • TheManWhoSolvedtheMarket-GregoryZuckerman.xdf
  • 4.48 MB
  • 2019-11-12

  • 1-s2.0-S1094202518303223-mmc2.zip

    本附件包括：
    • fit.csv
    • read_me.txt
    • solve_function_payhet.m
    • solve_model.m
  • 13.69 KB
  • 2019-9-29

  • Trading Evolved_ Anyone can Bui - Clenow, Andreas.rar

    本附件包括：
    • Trading Evolved_ Anyone can Bui - Clenow, Andreas.epub
  • 2.88 MB
  • 2019-9-27

  • trading evolved - anyone can build killer trading strategies in python (2019).rar
       trading evolved - anyone can build killer trading strategies in python (2019)

    本附件包括：
    • trading evolved - anyone can build killer trading strategies in python (2019).epub
  • 2.75 MB
  • 2019-9-18

  • clclv112复制粘贴工具.rar

    本附件包括：
    • 使用帮助(偶要下载站).url
    • 本软件下载说明.htm
    • 本软件使用说明.txt
  • 262.23 KB
  • 2019-9-2

  • dea solver操作指南.rar

    本附件包括：
    • Newsletter5.pdf
    • User's_Guide_15.0.pdf
    • AdjustedProjection.pdf
    • User's_Guide_12.pdf
    • UndesirableOutputsFigures.pdf
    • UndesirableOutputs.pdf
  • 5.71 MB
  • 2019-7-9

  • SUMS88 Exploring Mathematics -- Problem-Solving and Proof, Daniel Grieser (2018).zip

    本附件包括：
    • SUMS88 Exploring Mathematics -- Problem-Solving and Proof, Daniel Grieser (2018).jpg
    • SUMS88 Exploring Mathematics -- Problem-Solving and Proof, Daniel Grieser (2018).pdf
  • 3.52 MB
  • 2019-6-24

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       空间计量工具包

  • 5.89 MB
  • 2019-6-17

  • A Friendly Introduction to Number Theory, 4th Edition, Joseph H.Silverman, Pears.zip

    本附件包括：
    • A Friendly Introduction to Number Theory, 4th Edition, Instructor's Solution Manual, Joseph H.Silverman, Pearson 2012.pdf
    • A Friendly Introduction to Number Theory, 4th Edition, Joseph H.Silverman, Pearson 2012.pdf
  • 20.56 MB
  • 2019-5-22

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    本附件包括：
    • [The Evolving American Presidency] Mara Oliva, Mark Shanahan - The Trump Presidency_ From Campaign Trail to World Stage (2019, Springer International Publishing_Palgrave Macmillan).pdf
  • 1.22 MB
  • 2019-5-20

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       artificial intelligence in practice - how 50 successful companies used AI and machine learning to so ...

    本附件包括：
    • artificial intelligence n practice - how 50 successful companies used AI and machine learning to solve problems (2019).epub
  • 535.87 KB
  • 2019-5-16

  • DEA-SOLVER-LV8(2014-12-05).zip
       DEA测算软件免费版包含几十个模型

    本附件包括：
    • DEA-SOLVER-LV8(2014-12-05).xlsm
  • 1.48 MB
  • 2019-5-15

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       minitab 17.3.1 中英文免安装版

    本附件包括：
    • MtbCDLValidation.dll
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    • Mtb.exe
    • nlssrv32.exe
    • rmd.exe
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    • filecheck.dll
    • lfbmp14nu.dll
    • LFCMP14nu.DLL
    • lffax14nu.dll
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    • MtbAuthNDEU.dll
    • MtbAuthNESP.dll
    • MtbAuthNFRA.dll
    • MtbAuthNJPN.dll
    • MtbAuthNKOR.dll
    • MtbAuthNPTB.dll
    • MtbBCG.dll
    • MtbBook.dll
    • MtbBT.dll
    • MtbCDL.dll
    • MtbCDLParseValidation.dll
    • MtbCmndFramework.dll
    • MtbDateTime.dll
    • MtbDDE.dll
    • MtbDlg.dll
    • MtbEDT.dll
    • MtbExceptions.dll
    • MtbFormat.dll
    • MtbGED.dll
    • mtbgr.dll
    • MtbGraphAttributes.dll
    • MtbGraphics.dll
    • MtbGraphicsCmnd.dll
    • MtbGraphicsFtn.dll
    • MtbGUI.dll
    • MtbHOB.dll
    • MtbHVW.dll
    • MtbIO.dll
    • MtbMath.dll
    • MtbMemory.dll
    • MtbMessaging.dll
    • MtbMsg.dll
    • MtbMVT.dll
    • MtbObjectiveGrid.dll
    • MtbObserver.dll
    • MtbOLE.dll
    • MtbOut.dll
    • MtbPrefs.dll
    • MtbRCH.dll
    • MtbSED.dll
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    • MtbStreams.dll
    • MtbStrings.dll
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    • MtbUTL.dll
    • MtbWorkVar.dll
    • r2netdll.dll
    • RWUXThemeSU.dll
    • StatLibrary.dll
    • vcamp120.dll
    • vccorlib120.dll
    • vcomp120.dll
    • Mtbff.des
    • MtbTG.des
    • MtbGraph.ico
    • MtbProj.ico
    • MtbText.ico
    • regid.1994-02.com.minitab_Minitab 17_17.3.1.0.swidtag
  • 87.13 MB
  • 2019-5-13

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       人力资源管理MBA课程Case包

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    • 3. Phase Zero Introducing New Services at IDEO (A).pdf
    • 4. A.P. Moller - Maersk Group Evaluating Strategic Talent Management .pdf
    • 5.Greg James at Sun Microsystems, Inc. (A).pdf
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  • 3.24 MB
  • 2019-5-2

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  • 2019-4-9

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    • city_dissolve.shp.xml
    • city_dissolve.shx
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  • 10.99 MB
  • 2019-3-31

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  • 450.2 KB
  • 2019-3-24

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    • INS_Solvency.xlsx
    • INS_Solvency[DES][xlsx].txt
    • 版权声明.pdf
  • 252.9 KB
  • 2019-1-26
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