The course is an introduction to univariate and multivariate time series models.
本课程是对于单变量与多变量时间序列模型的一个介绍。
The transfer function-noise model is a kind of multivariate time series model which has much advantage in expressing dynamic mechanism of a system.
传递函数———噪声模型是一类多变量时间序列模型，它在表达系统动态影响机制方面有着独到的优势。
Similarity measure is a key technology of time series mining, whose existing methods are not available for the analysis of small-scale multivariate time series.
相似性度量是金融时间序列挖掘中的一项关键技术，但现有的度量方法不适合分析小规模的金融多元时间序列。
However, there are a few on multivariate time series mining, since the data structure of multivariate time series is more complex than that of univariate time series.
然而多元时间序列的数据结构比一元时间序列更复杂，现有的理论和方法仍不够完善。
Multivariate time series method is used to analyze the performance of oil production and injection Wells. A multi factor model for predicting the water cut in oil well is presented.
采用多元时间序列分析的方法，对油水井动态特性进行了分析，建立了油井含水率的多因素预测模型。
Chaotic local forecasting of multivariate time series based on electric propulsion ship power load was proposed for improving the forecasting accuracy of electric propulsion ship power load.
为提高电力推进船舶电力负荷预测精度，提出电力推进船舶电力负荷的多变量混沌局部预测。
Aiming at the problem of multivariate time series similarity search, this paper presents the definition of parameter importance degree and puts forward a candidate sets obtaining method based on it.
针对多元时间序列的相似性查询问题，给出参数重要度的定义，提出一种基于参数重要度的候选集查询方法。
Chapter2: Traditional time series models and multivariate fuzzy time series models.
第二章、时间数列模型与多变量模糊时间数列模型。
Chapter2: Traditional time series models and multivariate fuzzy time series models.
第二章、时间数列模型与多变量模糊时间数列模型。
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