Gaussian Self-affinity and Fractals
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Table of Contents

Advances in Old But Open Topics * Broad Continuing Issues * Introductions from the 1960s * Fractional Brownian Motions * Fractional Brownian Surfaces * Self-Affine Cartoons in Grids; Their Multiple Fractal Dimensions * R/S Analysis and Its Uses

Reviews

From the reviews of the first edition: "Written in Mandelbrot’s unique, thought-provoking style, these papers and commentaries contain a wealth of ideas which will appeal to mathematicians, statisticians, scientists and economists alike. It is a book both for dipping into and for detailed study, making readily accessible seminal papers which contain ideas that are as relevant now as when first published." (K. Falconer, Proceedings of the Edinburgh Mathematical Society, Vol. 48, 2005) "This book contains the author’s works in areas ranging from statistics, mathematics, physics, hydrology to economics and finance … as well as more than 200 pages of new material written especially for this volume. … To summarize, Volume H of Mandelbrot’s Selecta is a major contribution to the understanding of wild self-affine variability and randomness. I believe that … it will have a great impact on future research in mathematics, statistics, physics and other applied areas." (Yimin Xiao, Zentralblatt MATH, Vol. 1007, 2003) "This book is a complete and encyclopaedic synthesis of problems and themes in self-affinity, fractals, multifractal geometry and globality. … a very exhaustive and complete bibliography on the different connected subjects (with more than 500 references) may be very useful for researchers or users." (Michèle Mastrangelo-Dehen, Mathematical Reviews, Issue 2003 a) "This volume is volume H of a program of publications of selected works (old and new) of Benoit B. Mandelbrot. … The most valuable feature of the book is to bring together highly important papers … for this reason this book should be in the library of any scientist interested in the origin of the concepts of self-affinity and fractals and their numerous applications in science." (Christian Michaux, Simon Stevin Bulletin, 2003)

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