 permutation entropy is a powerful tool for analyzing time series that accounts for temporal information contained in the time series and has the qualities of simplicity robustness and low computational cost. It has been widely used in recent years to understand complex and chaotic systems as well as economical markets and biomedical systems. This article was authored by Osvaldo A. Rosso, David Papo, Luciano Zanino, and others.