提出并研究了基于时间序列理论的网络舆论发展趋势预测方法。
Prediction methods to the tendency of network opinion evolution are also initially studied and the way to predict network opinion tendency based on time series analysis theories is present.
本文运用现代时间序列理论，建立了表面粗糙度轮廓的随机数学模型。
In this article, the random mathematical method of surface roughness is given with modern time series theory.
本文根据时间序列理论通过曲线拟合和参数估计来建立数学模型，对当前尿素市场进行分析。
The article draw up to match through a curve and estimate with parameter to establishment mathematics model according to time sequence theories, Carry on the analysis to the current urea market.
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