The results show that when to data to be observed is unequal interval, it is more effective for the grey-chaos time series to analyse the data.
结果表明，当观测数据为非等时序列，采用灰色混沌时间序列进行分析比较有效；
The surrogate data technique is one of the effective methods to identify the chaos in the time series. In this paper, we introduce a kind of surrogate data method based on correlation dimension.
替代数据方法是判定时间序列中是否具有混沌特性的一种有效方法，本文介绍了该方法中一种基于关联维数的混沌判据。
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