Currently, the surrogate data method has become a widely used method in testing nonlinearity of time series.

目前，替代数据方法已逐渐成为时间序列的非线性成分检验中广为采用的一种方法。

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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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