R还具有更多用于时间序列分析的工具。
R provides still more tools for time series analysis. For example, we can plot the autocorrelation function for the living room temperature.
模型作为时间序列运行。
然而，通信图更看重对象的协作，而不是时间序列。
However, a communication diagram focuses more on showing the collaboration of objects than on the time sequence.
在客户领域，存在着大量的时间序列数据。
In the field of customer, there exist a large number of time series data.
如何检测是否在时间序列数据的变化不再明显？
How to detect if change in time series data is no longer significant?
时间序列数据是以时间为指标的一个随机变量序列。
A time series data set is a sequence of random variables indexed by time.
序列图：序列图说明了交互中对象之间消息的时间序列。
Sequence diagram: a sequence diagram illustrates the chronological sequence of messages between objects in an interaction.
讨论、比较了基于神经网络和基于时间序列的预测模型。
It discusses and compares the forecasting models using neural networks and using time series.
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。
Research on time series data mining is one of important hot spots of data mining.
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。
Their similarity depends on the structure in the phase space of the time series of original observations fields.
文章最后用GARCH模型对组合收益率时间序列进行了模拟。
Finally, this paper USES GARCH model regressing the portfolio return time series.
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。
Experiments have shown that this method can efficiently analyze the time series of Chinese Stock Market.
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。
At present, outlier mining has attached a great importance in the field of time series analysis.
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。
In this paper, the numerical solution of differential equation is employed to establish the forecasting model of the time series.
由于在这种方法中我们是对内核进行单步跟踪，因此无法模拟精确的时间序列。
Since you step through the kernel in this approach, you will not have the exact timing sequence.
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。
Time series estimates showed improved control of high total serum cholesterol over the past two decades in England and the United States.
我们需要覆盖更多国家、更多时间序列的卫生、教育、基础设施和性别的核心数据。
We need more core data across countries and time periods on health, education, infrastructure, and gender.
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。
When a white noise interferes with the controller, a time series autoregressive (AR) model is built using the sampled experimental data.
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。
So if your big data infrastructure must cope with time series, Informix is more than up to the job.
我绘制了一条房屋价格的时间序列曲线…，就是那条红色的线，你可以看到它的历史走势。
I constructed a series of home prices -that's the red line and the red line is -you can see how it's moved through history.
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。
In this paper, the theory and method of fuzzy time series analysis are presented, the model form and the parameters estimate problem are studied.
介绍了在批量处理时间序列情况下，BP神经网络辨识预测电力负荷的方法和步骤。
The method and steps of BP (Back Propagation) neural network for recognizing and forecasting power load in batch data processing of chronological sequence is presented.
用时间序列分析方法对镗削加工误差进行了分析和建模，建立了相应的AR误差模型。
Analysis and modeling are made for the boring error by using time sequential analysis way, and corresponding ar error model is established.
地图之光组织也采取类似的时间序列研究途径，利用地图呈现出资金对于美国国会投票的影响情况。
MAPlight used a similar time-lapse approach to show the influence of money on congressional votes.
嵌入的ts()函数通过向量glarp$livingroom创建一个时间序列对象。
The embedded ts() function creates a time series object out of the vector glarp$livingroom.
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。
Rough set theory, as an effective tool to deal with vagueness and uncertainty, is effective to the time series data mining.
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。
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。
Two kinds of models are derived; load prediction model based on building model recognition and load prediction model based on time series analysis.
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