Finally, this paper USES GARCH model regressing the portfolio return time series.
文章最后用GARCH模型对组合收益率时间序列进行了模拟。
Once you have built up a time series, you will probably want to retrieve historical data.
构建一个时间系列后，您可能想要检索历史数据。
The embedded ts() function creates a time series object out of the vector glarp$livingroom.
嵌入的ts()函数通过向量glarp$livingroom创建一个时间序列对象。
It discusses and compares the forecasting models using neural networks and using time series.
讨论、比较了基于神经网络和基于时间序列的预测模型。
RRDtool is an open source, high performance data logging and graphing system for time series data.
RRDtool是一个开放源码的高性能数据日志记录和绘图系统，用于处理时间系列数据。
At present, outlier mining has attached a great importance in the field of time series analysis.
目前，在时间序列分析领域，孤立点的挖掘越来越多的受到重视。
So if your big data infrastructure must cope with time series, Informix is more than up to the job.
所以如果您的大数据基础架构必须处理时间序列，Informix已足够完成此工作。
Experiments have shown that this method can efficiently analyze the time series of Chinese Stock Market.
试验表明，用此方法分析中国证券市场的股票时间序列非常有效。
Based on the project background, an improved outlier data mining algorithm for time series data is given out.
根据课题背景，给出一个针对时序数据的离群数据挖掘算法的改进算法。
Their similarity depends on the structure in the phase space of the time series of original observations fields.
它们的相似性依赖于原观测场时间序列在相空间中的结构。
In order to study further this type of time series, it is necessary to extract deterministic and stochastic components.
为了进一步研究这种类型的时间系列，有必要提取确定性和随机成分。
The time series of temperature are expected to be the longest possible so as to examine various modes of oscillation periods.
人们希望温度的时间系列尽可能地长，以便能研究各种波的振荡周期。
Rough set theory, as an effective tool to deal with vagueness and uncertainty, is effective to the time series data mining.
粗糙集理论作为一种处理模糊和不确定性问题的有效工具，对时间序列的数据挖掘是有效的。
The mining accuracy chart TAB cannot be used with time series models or with models that have continuous predictable attributes.
“挖掘准确性图表”选项卡不能用于时序模型或具有可预测连续属性的模型。
As the time series, the gradual stability of community microclimate is a sign for the gradual maturity of community restoration.
逐渐趋于稳定的群落小气候是恢复群落逐渐成熟的表现，同时可以促进群落的进一步完善。
In this paper, the numerical solution of differential equation is employed to establish the forecasting model of the time series.
本文利用微分方程的数值解法对时间序列建模预测作了新的尝试。
Secondly, time series trend analysis models in common use are introduced, whose illative process and applicability are also expatiated.
其次，研究了常用的时序数据趋势分析模型，并对它们的推理过程和适用性进行了详细的阐述。
When a white noise interferes with the controller, a time series autoregressive (AR) model is built using the sampled experimental data.
当白噪声干扰方向控制器时，可以用采样数据建立时间序列的自回归模型。
Time series estimates showed improved control of high total serum cholesterol over the past two decades in England and the United States.
时间序列估算显示过去的二十年中英格兰和美国的高血清总胆固醇控制得到改善。
R provides still more tools for time series analysis. For example, we can plot the autocorrelation function for the living room temperature.
R还具有更多用于时间序列分析的工具。
In this paper, the theory and method of fuzzy time series analysis are presented, the model form and the parameters estimate problem are studied.
本文提出了模糊时间序列分析的理论和方法，研究了模型形式及其参数估计问题。
Two kinds of models are derived; load prediction model based on building model recognition and load prediction model based on time series analysis.
提出了两种类型负荷预报模型，基于建筑模型辩识的负荷预报法和基于时间序列的负荷预报法。
Another speaker discussed the challenges of managing time series data, meaning that you track incoming data according to the time interval when it was recorded.
另一位演讲者探讨了管理时间系列数据的挑战，表示您依据记录所传入数据的时间间隔来跟踪该数据。
This paper puts forward a seasonal neural network model to curve fitting analysis for nonlinearity and predict for the seasonal time series of outpatient amount.
本文提出一种利用季节性神经网络模型对医院门诊量进行非线性曲线拟合分析和预测。
This paper puts forward a seasonal neural network model to curve fitting analysis for nonlinearity and predict for the seasonal time series of outpatient amount.
本文提出一种利用季节性神经网络模型对医院门诊量进行非线性曲线拟合分析和预测。
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