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- Time Series Characteristic of GPS Fiducial Stations in China 中国大陆GPS基准站的时间序列特征
- Time series characteristics 时序特征
- 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。
- The time series of financial data have the characteristics of unevenness and variance volatility, which was inadequately explained by traditional classical econometric model. 摘要金融数据时间序列具有丛集性和方差波动性特点，传统经典计量模型对此的解释能力不足。
- Based on the characteristics of distribution of SISE and theory of trend extrapolation of time series, we selected cubic polynomial predict model. 摘要基于SISE的分布特性和时间序列趋势外推理论，选择了三次多项大时间序列趋势外推模型预测SISE，结果表明该模型可行。
- 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。
- The Internet traffic belongs to non-stationary time series,and it has some fractal characteristics of strong bursty and self-similarity. 互联网流量数据属于非平稳的时间序列,具有很强的突发性和自相似性等分形特征。
- 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。
- Most variances of time series have non-linear characteristics, that is, the variances change acutely sometimes, while they stay stable at other time. 大多数时间序列往往具有变方差的非线性特性,即某些时期的波动特别剧烈,而另一时期的波动又相对平稳。
- The time series of wind power generating capacity are examined by nonlinear dynamical methods, in order to identify the chaos characteristics from its random-like waveform. 利用非线性动力学的理论方法对并网型风力发电系统的发电容量-时间序列进行分析，以检验其是否存在混沌属性。
- 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。
- Piecewise linear representation algorithms of time series are usually based on a single heuristic rules，difficult to apply in different characteristics of time series data. 摘要 时间序列的分段线性表示算法通常基于单一的启发式规则，难以适用于不同数据特征的时间序列。
- 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。
