重点讨论了替代数据法的计算和应用，并首次将其应用到水文领域中。
Emphasis is given on the surrogates data method, which is firstly applied to chaotic hydrological time series.
实证结果表明，我们实测的交通流中存在混沌，改进型的替代数据法能对其进行准确判别。
The results indicate that there is chaos in the real traffic flow and the improved surrogate-data technique can identify chaos exactly.
替代数据检验法是检验时间序列中是否存在确定性非线性成分的重要统计方法。
In the analysis of time series, the surrogate data test is often performed in order to investigate nonlinearity in the data.
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