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It is the best way to adopt sampling and reversion technology in the high-speed network traffic measure.

因此,将流量抽样与流量还原技术应用在高速网络流量测量过程中已经成为一个必然的趋势。

At present, sampling only represents 20% of the production of the Rho 700, but I'm sure that will grow.

目前,抽样仅占的20的Rho 700%的产品,但我敢肯定,将增加。

Because of the sampling processing, we can take the simple concave domain analysis and ICM optimization in two different levels, so as to make both the parameter estimation and optimization much easier to implement, while delivering a satisfactory result; The third one is based on the multi-resolution analysis, robust statistics and majority game theory. 4. Propose a new clustering algorithm based on the entropy concept, which is used for unsupervised segmentation of color images.

重点讨论非监督的图象分割问题,并给出了三种新方法:一是基于贝叶斯学习和全局竞争策略的方法,把参数估计和图象分割有机地结合在一起;二是基于分层的框架,从抽样定理出发,在两个不同的层次上使用简单的凹域分析和ICM优化,可以使得参数估计和优化问题都变得简单易行,并得到满意的结果;三是基于多级分析、鲁棒统计的参数估计和多数博弈论的优化算法。

Monte Carlo and self-adaptive multi-objective genetic algorithm were applied to solve the multi-objective robust optimization of suspension parameters, taking the statistic mean and standard deviation of root-mean-square value of the vertical acceleration of vehicle body and the dynamic load of front and rear tires as objective functions.

以某载货汽车的四自由度悬架模型为研究对象,同时考虑制造精度的影响,以车身垂直加速度、前后轮胎动载荷的均方根值的统计均值和方差为目标函数,采用蒙特卡罗抽样法和自适应多目标遗传算法对悬架参数进行稳健优化。

Those 48,000 viewers could be a rounding error caused by the change in channel position (although CNN lost in a couple of months to MSNBC before the channel switch) or to sampling error.

这48,000名观众的差距可能是频道位置变化引起的误差(虽然CNN在频道位置变化的几个月前就落后于MSNBC了)或者是抽样误差。

Hierarchical linear modeling is the most frequently used technique for analyzing multilevel data. In this paper, the twelve key issues in multilevel research and/or using HLM software were reviewed, and provided their exact meanings and feasible solutions. The 12 key issues included intraclass correlation coefficient, sample sizes, formation of organizational constructs, centering problems, fixed effect and random effect, estimation methods, goodness of fit index, explained variation, multicollinearity, robust standard error, level one variance equation, and empirical Bayes estimates.

本文针对阶层线性模式在多层次研究上有关於技术、测量与方法论所遭遇的问题,进行文献整理并讨论其实务意涵,并依据使用时机、抽样议题、资料汇总、分析方法、与模式评估与估算等五方面整理出十二项重要议题与解决之道,包括:组内相关系数的意义与判断准则、多层次研究各层的样本数问题、变数聚合成组织层次问题、中心化的意义、固定效果与随机效果的设定、估计法的选择、适配度的比较、解释变异量的计算、多元共线性的分析、强韧性标准误、第一层误差项变异数与实证贝氏估计值的运用。

This dissertation reviewed the history and current status of the research of dielectric window breakdown, investigating the basic idea and application of Monte Carlo method, and sought a best random sample for different Probability density function.

本文回顾了介质窗击穿研究的历史与现状,探讨了蒙特卡罗方法的基本思想和应用技巧,针对不同概率密度函数的性质寻求其最优的抽样方法。

Through adopting this algorithm the timing error is shortened to a half of the sample time interval.

通过采用这种算法可将定时误差缩小到只有抽样时间间隔的一半。

In the empirical test, data overlapping induced by the difference of the sample interval and forecast interval is considered.

在实证检验中,考虑了抽样间隔和预测间隔不一致而导致的数据重合问题。

Stratified cluster sampling method, to branches, grade, gender-stratified sample mean, in December 2009 granted to the Southeast University.

采用分层整群抽样的方法,以系别、年级、性别为分层指样,于2009年12月向东南大学发放。

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这一模式非常关注商人的网络信用基础。

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