The model is run as a time series.
模型作为时间序列运行。
Fund flow is a function of time series.
资金流转是时间序列的函数。
AR model is wide used time series model.
时间序列模型主要是自回归模型。
Chaotic time series can be predicted totally.
混沌序列是完全可以预测的。
We do not have time series on the number of elephants.
我们也没有每隔一定的时间就对大象的数量进行统计。
Similarity Search Model of Hydrological Time Series.
水文时间序列相似性查找模型。
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。
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。
This method can be used with an unequally spaced time series.
这种方法可用于一个不平等的间隔时间序列。
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。
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。
The Network addiction effect affects the time series processing.
网瘾效应影响时序加工；
It can be applied to time series to investigate their persistency.
它可以被用来研究时间序列的连贯性。
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。
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？
How to customize axis when plot multiple time series data in 1 panel?
如何自定义轴当绘制多个时间序列数据在1小组？
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。
In the field of customer, there exist a large number of time series data.
在客户领域，存在着大量的时间序列数据。
How to remove subjects who have missing measurements in time series data?
如何去除那些失踪的测量在时间序列数据吗？
Then we can use the Score test to find the outliers in stock time series.
然后，我们可通过股票检测来发现股票时间序列的异常点。
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。
It must need nonlinear method to reflect essence of the time series veritably.
试想，要真实地反映出这些非线性时间序列的本质，就必须使用非线性工具。
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。
This article also recounted the measure of producing the time series for control.
叙述了可编程控制器产生控制时序的方法。
A state space approach for the modeling of nonstationary time series is presented.
非平稳时间序列的状态空间建模技术被用于陀螺漂移分析。
Black body furnace temperature time series prediction model based on BPNN was built.
文章在神经网络的基础上，建立了黑体炉温度时序预测模型。
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