Organized around the notions of scaling phenomena and scale invariance, this book introduces the various stochastic models commonly used to describe scaling: self-similarity, long-range dependence, and multi-fractals. In subsequent chapters, these models are compared and related to each other and the tool of fractional integration is introduced. Closing sections detail applications of the scaling paradigm, including image processing, stock market fluctuations, geophysics, scale relativity, and fractal time-space.
