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- increasing time series 递增时间序列
- This is called a deseasonalizing time series. 这叫调和时间数列。
- Time Series Analysis Hamilton J.D. 时间序列分析。
- Predicts the future values for a time series. 预测一个时序的未来值。
- Results A new mode of time series is established. 结果建立了一个新的时间序列模型。
- Tab to display the tree view of the time series model. 选项卡可以显示时序模型的树视图。
- Returns predicted future or historical values for time series data. 返回时序数据的将来或历史的预测值。
- Time series data set comes with a temporal ordering. 时间序列数据集伴随着一个时间上的排序。
- This paper studies algebraic modeling of discrete time series. 摘要主要研究离散时间序列上的代数模型。
- The microstructure of welding intracrystalline repair welded with flux does not grow up with increasing time. 涂活性剂焊缝区晶内组织并未因补焊次数的增加而粗大；
- The method can be used for time series pretreatment and the AR analyzing. 变换方法可用于有限长度时间序列的预处理。
- We can see that the body tends to move to the position of equilibrium with increasing time exponentially slowly. 可见，物体的运动随时间的增长而无限地趋向平衡位置，不再具备振动的特性。
- Simulation of Cunninghamia lanceolata growth by wave-type time series analysis. 杉木生长的起伏型时间序列模拟研究。
- You can define input data for the Microsoft Time Series model in two ways. 可以用两种方式定义Microsoft时序模型的输入数据。
- The analyzing tools include SWOT Analysis, Time Series Analysis, etc. 具体用到的分析工具有SWOT分析、时间序列分析方法等等。
- Conclusions: These findings highlight the importance for metabolic health of decreasing sedentary time, as well as increasing time spent in physical activity. 结论：这些结果强调：减少久坐的时间，增加中到强的体力活动时间对代谢健康时至关重要的。
- A time series data set is a sequence of random variables indexed by time. 时间序列数据是以时间为指标的一个随机变量序列。
- This paper studies the problem of Fractional-Integra tion (FI) time series. 研究了向量分整序列的非线性协整问题。
- For obvious reasons these methodologies can only apply to time series. 因为显而易见的原因，这些模型只能用于时间序列。
