• The methods for fitting the autoregressive model to the stationary time series are briefly reviewed.

    本文首先略述用回归模式平稳时间序列的各种方法

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  • For multiple stationary time series Granger causality tests and vector autoregressive models are presented.

    平稳时间序列,“格兰其”成员因果律测试自回归模式给的矢量

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  • Size curves of cocoon filaments can be regarded as non-stationary time series with finite length varying at random.

    茧丝纤度曲线预测研究茧丝纤度曲线视为长度有限随机变动的非平稳时间序列

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  • Through ARIMA model and standardization, the non stationary vibration series acquired in the field were transformed to stationary time series normally distributed.

    现场测得的平稳振动序列通过ARIMA模型标准化处理转化成标准正态平稳时间序列。

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  • The space of prediction and application of non-stationary time series were expanded through the combined model of wavelet analysis, gray and time series prediction methods.

    小波分析理论灰色预测理论时间序列预测法组合进行需水量预测,原始非平稳时间序列的预测应用拓展空间

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  • The statistical model of frequency and intensity of anomalous microtherm events in Nanjing is established by means of the extreme value distribution theory of stationary time series.

    本文借助于平稳时间序列极值分布理论南京地区异常低温事件频次强度建立统计模型

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  • Most of the popular clustering methods are designed for the linear time series, assuming that the stationary time series can be fitted by linear model. In fact, the true word is nonlinear.

    由于现实世界时间序列多数非线性现有时间序列类问题大多基于线性时间序列模型进行聚类的,提出可以用于非线性时间序列的聚类方法

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  • The aim of this paper is to give a systematic account of asymptotic properties of the sample autocovariance, autocorrelation and partial autocorrelation functions of linear stationary time series.

    本文的目的在于,对于线性平稳时间序列样本方差、自相关相关函数渐近性质给出一个比较系统描述

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  • The real signals have often non-stationary characteristic, so if we analyse these time series using AR model directly, we cant obtain design result.

    由于实际信号常常具有非平稳特征直接应用AR模型进行时间序列分析得不到理想的效果

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  • Objective:This paper gives a statistical method of how to test if a time series is stationary.

    目的提出一种客观统计检验方法判断时间序列平稳性

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  • EMD method is a new method for analyzing nonlinear and non-stationary data, which has more advantage than wavelet analysis, and it can process short time series precisely.

    EMD方法平稳非线性信号进行分析一种新的频分析方法。小波分析等方法具有的特性准确处理非常短数据序列

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  • EMD method is a new method for analyzing nonlinear and non-stationary data, which has more advantage than wavelet analysis, and it can process short time series precisely.

    EMD方法平稳非线性信号进行分析一种新的频分析方法。小波分析等方法具有的特性准确处理非常短数据序列

    youdao

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