An integrated model for the correlation integral

摘要

The correlation integral is the main tool for the analysis of the chaotic time series. Its linear part (i.e. the scaling region) gives the attractor's dimension. In this work we propose a model that explains all the possible neighborhood ranges of the correlation integral. Empirical examples are given on artificial data.