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1)  StoNED [英][stəʊnd]  [美][stond]
随机非参数数据包络
1.
The aim is to analyze the performance of open-ended fund in China in terms of efficiency on the basis of Stochastic Non-Parametric Envelope of Data(StoNED), which is the combination of Data Envelope Analysis (DEA) and Stochastic Frontier Analysis(SFA), with the expectation of providing insightful suggestions and examples for the development of fund industry.
论文的目标是通过数量经济学的方法,以数据包络分析(DEA)和随机前沿分析(SFA)为基础,采用随机非参数数据包络方法(Stochastic Non-Parametric Envelopment of Data),侧重从效率的角度对中国开放式基金的绩效进行探讨和分析,以期对该领域未来的发展和对策研究提供理论前提和借鉴。
2)  non-normal random parameter
非正态随机参数
1.
Sensitivity design for reliability of vehicle components based on non-normal random parameters;
非正态随机参数的车辆零件的可靠性灵敏度设计
2.
The probability constraint is transferred into equivalent determinate constraint by Probabilistic Perturbation method and Edgeworth series method in reliability design optimization with non-normal random parameters.
利用随机摄动和Edgeworth级数方法,将非正态随机参数可靠性优化设计中的概率约束转化为等价的确定性约束,并运用粒子群算法迅速准确地获得结构系统可靠性优化设计的初始点。
3)  non-normal random parameters
非正态随机参数
1.
In the first one, the probabilistic perturbation method and the Edgeworth series are employed to give the theoretical formula for reliability-based optimization with non-normal random parameters.
针对具有非正态随机参数的可靠性(优化)设计,提出了随机摄动-Edgeworth级数方法,采用该方法将可靠性概率约束转化为等价的确定型约束,可以迅速准确地获得优化设计信息。
2.
Based on the reliability design theory,the sensitivity analysis and the fourth moment technique,the reliability sensitivity of the automobile familiar springs with non-normal random parameters is extensively discussed and a numerical method for reliability sensitivity design is presented.
将可靠性设计理论与灵敏度分析方法相结合,应用四阶矩技术,提出了基于四阶矩方法的可靠性灵敏度设计的计算方法,讨论了具有非正态随机参数的常用弹簧可靠性灵敏度设计问题,给出了可靠性灵敏度的变化规律,研究了设计参数的改变对汽车常用弹簧可靠性的影响,为汽车常用弹簧的可靠性设计提供了理论依据。
4)  non random systematical parameters
非随机系统参数
1.
The mixing adjustment model with systematical parameters is an adjustment model including both non random systematical parameters and random systematical parameters.
附加系统参数的混合平差模型中 ,同时含有非随机系统参数和具有验前统计性质的随机系统参数。
5)  data envelopment
数据包络
1.
Application of data envelopment analysis approach in evaluation of input-output efficiency of hydropower stations;
应用数据包络分析(DEA)评价水电站投入产出效率
6)  DEA
数据包络
1.
Application of DEA in Sports Assessment;
数据包络分析(DEA)方法在体育评价中的应用
2.
DEA method was used in this paper to measure the performance of Chinese public company from 1999-2004 in Shanghai and Shenzheng Stock market.
对传统的数据包络分析模型(DEA)进行改进,建立适合公司并购绩效评价的DEA评价模型。
3.
According to the applicability of DEA method used in the educational field, this article aims at evaluating on the integrative benefit of E-learning course quantitatively.
最后,运用DEA数据包络分析方法建立网络课程教育综合效益评价模型,应用模型对6门网络课程进行实证评价研究。
补充资料:非正态分布
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性质:在通常的情况下,观测试验数据遵从正态分布,可用观测值的平均值和标准差分别描述它的集中趋势和离散特性。但在有些情况下,观测值不遵从正态分布,而遵从其他类型的分布,比如偏态分布。相对正态分布而言,将不遵从正态分布的其他类型的分布统称为非正态分布。

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