探测方向性时间序列的相依性的标准偏自相关

A Canonical Partial Autocorrelation for Measuring Dependence in Diretional Time Series

  • 摘要: 我们建立了一个方法去探测线性与方向性时间序列的分段相依.Jupp&Mardia(1980)提出了流形上二元分布和二元角分布的相关系数.基于他们的工作,我们对方向性时间序列的自相关函数及偏自相关函数提出了新的定义,而且我们用这些新的定义做了一些模拟工作,并应用在实际的数据上,得到了一些令人满意的结果。

     

    Abstract: A method is proposed to detect lag-dependence between linear and directional time series.Jupp and Mardia (1980) proposed a correlation coellicient ρ2 for bivariate angular distributionand for bivariate distributions on general manifolds. Based on their idea canonical autocorrelationfunctions and canonical partial autocorrelation functions for directional time series aredefined. These canonical antocorrelations and partial antocorrelations enable us to detect lagdependencebetween linear and directional time series as well as detecting lag-dependence between directional timeseries. This test is applied on simulated and real data with satisfactoryresults.

     

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