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The dimension and entropy estimation methods require an infinite amount of
noise-free data. In practice, the time series has finite length and precision.
Furthermore, since an attractor has a finite size,
it can only be studied at a certain distance range, the scaling region. The
problem addressed in this chapter is to find optimal strategies for the
estimation of the dimension and entropy of an attractor
using an experimental time series.