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- time series study 时间系列研究
- 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。
- R/S series analysis is widely used as measures for long memory study in time series. 摘要针对上海和深圳的日收益序列，采用重标级差（R/S分析）对其进行了实证研究。
- 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。
- Therefore the emphasis of this task is to study auto-regressive model of non-stationary time series with finite length. 所以，有限长度非平稳时一间序列的自回归模型，是本课题理论研究的重点。
- 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。
- Objective To explore the clinical value of echocardiographic series study after orthotopic heart transplantation. 目的探讨原位心脏移植术后超声心动图系列检测的临床意义。
- 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。
- This paper will first introduce BMS, then study BMS by Markov chain in stochastic process and INAR(1) model in time series. 本文对BMS进行了介绍，并分别利用随机过程中马尔可夫链的知识和时间序列中的INAR(1)模型对BMS进行了研究。
- An empirical study for testing for DGP with a structural break in the time series of energy demand of China was provided. 文章还对中国能源需求的数据生成过程进行了实证研究。
- Brain functional imaging is an important tool in the study of nerval science, and it is necessary to register time series images. 摘要脑功能成像是进行神经科学研究的一项重要技术。在脑功能图像的数据分析中，时间序列图像的配准精度是对脑功能图像进行统计分析成功与否的关键。
- 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。
- 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。
- This paper is aiming at study the volatility and durative of the local and oversea copper futures market by the time series ARCH model. 本文主要利用金融时间序列ARCH模型研究国内外期铜市场的波动性及持续性。
- The dynamic study on the time series data from the TNT biodegradation process verified that the process conformed to one-rate dynamic equation. 结果表明，经过五天时间的降解，废水中所含的主要成分TNT接近完全降解，效果非常显著。
