In order to study further this type of time series, it is necessary to extract deterministic and stochastic components.
为了进一步研究这种类型的时间系列，有必要提取确定性和随机成分。
Experimental study shows that the self-adopting scanning stochastic resonance technique can be applied to engineering practice.
实验研究表明，自适应扫频随机共振技术可应用于工程实际。
The analytical framework of choice in this study was stochastic efficiency analysis in a mathematical programming form of Mean-Gini difference.
研究方法采用以期望值—基尼均差为集合空间的随机优势风险决策模型。
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