在5个城市作整群分层随机抽样调查确定与事故倾性有关指标的正常值范围。
The normal value range of indicators about accident proneness were detected according to epidemiological survey results using stratified random cluster sampling in 5 cities.
本文引入了基于日内价格幅度与回报两个测度指标的随机波动率模型。
In this paper we propose to a stochastic volatility model based on daily returns and intra-daily high-low price range jointly.
方法采用随机抽样方法，随机抽取市场上销售的食用槟榔，按DB43/132-2004中方法进行理化与微生物指标的检测。
Method Random sampling was used to edible areca-nut sold on market, followed by series of physicochemical and microbiological examination on DB43/132-2004 standard.
利用评价人员对待评方案给出的区间数评价值与理想区间数之间的差异和指标权系数的随机性，给出一种新的多指标评价方法。
Applying the ideal interval number of evaluated projects and the randomicity of index weight coefficients, a new mathematical programming model is established.
利用中国股市数据进行的实证结果表明，与单测度指标的随机波动率模型相比，基于两个测度指标的随机波动率模型能更好地描述股票市场波动率和市场波动风险。
Empirical results on Chinese stock market indicate that stochastic volatility model based on the two index outperforms those based on one index in capturing volatility character and market risk.
它需要处理由于真实系统信息灰色性、证实指标模糊性和模型与真实系统运行随机性引起的问题。
It needs treating the problems due to grey information of real system, fuzziness of validation criterion and randomness of model and real system operation.
将递推随机有限元法与验算点法结合，提出了一种基于递推随机有限元法(RSFEM)的随机结构可靠度指标计算方法。
Based on recursive stochastic finite element method (RSFEM), a random damage identification method for frame and infilled frame structures was developed.
将递推随机有限元法与验算点法结合，提出了一种基于递推随机有限元法(RSFEM)的随机结构可靠度指标计算方法。
Based on recursive stochastic finite element method (RSFEM), a random damage identification method for frame and infilled frame structures was developed.
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