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This is coherent treatment of fractal time-series methods that will be exceptionally useful.
Each analysis is explained, and also the differences between the analyses are explained in a systematic way.
This volume offers a nice introduction to the various methods that can be used to discuss long range dependencies in univariate time series data. Koopmans makes a compelling case for these methods and offers clear exposition
This amazing book provides a concise and solid foundation to the study of long-range process. In a short volume, the author successfully summarizes the theory of fractal approaches and provides many interesting and convincing examples. I highly recommend this book.