The model is run as a time series.
模型作为时间序列运行。
How to detect if change in time series data is no longer significant?
如何检测是否在时间序列数据的变化不再明显？
Parameter estimation is the key in building up a model in time series analysis.
时序模型的参数估计是时序模型建模的核心。
The prediction of time series is very important in the economic and engineering fields.
时间序列的预测在经济和工程领域具有十分重要的意义。
Fund flow is a function of time series.
资金流转是时间序列的函数。
Second, the chaos time series was predicted.
第二、对混沌时间序列进行预测。
First, time series models are used for prediction.
第一步使用时间序列模型进行预测研究。
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。
Stream flows are sorts of complicated nonlinear time series.
河川径流是一种复杂的非线性时间序列。
Thus, testing unit root in seasonal time series is necessary.
这样对季节性时间序列进行单位根检验是很必要的。
Mining time series data with association rules is a new field.
采用关联规则挖掘时序数据是较新的研究领域。
This paper presents a method of forecasting chaotic time series.
本文提出一种混沌时间序列预测技术。
RBF network can model nonlinear time series with high precision;
RBF网络对非线性时间序列具有很高的建模精度；
This paper proposes a new linear fitting method for time series.
提出一种新的时间序列线性拟合方法。
In chapter 6, we discuss the predict method of chaotic time series.
本文的第六章讨论混沌时间序列的预测问题。
The grey system has a high precision for the time series prediction.
灰色系统预测法对时间序列的预测有较高的精度。
TIS(Temporal Information System)is the formalization of time series.
时态信息系统（TIS）是时间序列的形式化表示。
Trend is one of the most important characters of economic time series.
趋势是经济时间序列最主要的特征之一。
Research and teaching: time series econometrics and empirical finance.
主要研究和教学领域：时间序列计量经济学、实证金融。
The time series similarity measure and its characteristics were studied.
剖析了时间序列的相似性度量及其特点。
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 discusses the prediction of power load by time series modelling.
本文讨论如何应用时间序列建模预测电力负荷。
On runoff time series forecasting, this method shows a good result, too. 3.
研究还表明，该方法在水文月径流时间序列的预测中同样有效。
Finally, we use time series method to predict the output of the next few years.
运用时间序列法对未来几年的产量进行预测。
Finally, we give Bayesian analysis of the long memory time series ARFIMA model.
最后，对长记忆时间序列arfima模型进行了贝叶斯分析。
Chaotic economic time series are studied by using time series analyzing methods.
利用时间序列分析方法对混沌经济时间序列进行研究。
Research on time series data mining is one of important hot spots of data mining.
目前时间序列的数据挖掘是数据挖掘的重要研究热点之一。
Then the chaotic time series theory is introduced into the wind speed prediction.
然后将混沌时间序列的相关理论引入到风速、风功率预测中。
Then the chaotic time series theory is introduced into the wind speed prediction.
然后将混沌时间序列的相关理论引入到风速、风功率预测中。
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