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- Technique of periodic analysis is also sugg ested.The prediction of hydrologic time series may be solved satisfactorily by the combination of the two techniques mentioned above. 同时针对水文地质时间序列普遍具有周期性特征的事实，提出了用周期分析的方法来修正残差，将二者相结合，可以很好地解决水文时间序列的预报问题。
- Because of the overall influence of meteorology factors and underlaying surface factors, the hydrologic time series are high nonlinear, including the definitiveness and randomicity i. 由于气候因素和下垫面因素的综合影响,水文时间序列表现出复杂的非线性,包括确定性成分和随机成分,如月径流序列、日均流量序列等。
- The study object of many problems comes down to hydrologic time series in the field of hydrology and water resources. 在水文及水资源领域,很多问题的研究对象都涉及到水文时间序列。
- stochastic modeling of hydrologic time series 水文随机模拟
- analysis of hydrologic time series 水文时间序列分析
- So it is essential that the hydrological time series are de-noised by wavelet method before chaos identification and prediction of the hydrologic system. 因此在对水文时间序列进行混沌分析和预测之前，对其进行小波消噪是完全必要的。
- Chaos and support vector machine theory has opened up a new route to study complicated and changeable non-linear hydrology time series. 混沌和支持向量机理论为研究复杂多变的非线性水文时间序列开辟了新的途径。
- Noise in the hydrological time series influences not only the hydrology chaos identification, but also the runoff prediction precision. 摘要水文要素时间序列中的噪声不仅影响水文混沌特性识别，更影响径流预测精度。
- The application of the proposed model to predict the monthly runoff shows that it can effectively dealing with the complicated hydrological time series with preferable precision. 实例表明，该模型能较好地处理复杂的水文数据序列，且有较好的预测精度。
- On studying the method of spectrum, we bring forward a measure to analyze the hydrological time series and check the representation of hydrological sequence. 水文时间序列的代表性分析是水文频率计算的一项重要内容,水文频率分析成果的优劣在很大程度上取决于水文序列的代表性。
- Hydrologic time series resolution and cycle recognition based on wave-let transformation theory 基于小波变换的水文时间序列分解及周期识别
- hydrological time series forecast 水文时间序列
- hydrological time series with seasonality 季节性水文时间序列
- hydrologic time series 水文时间序列
- 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。
