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Long-range Dependence and Self-similarity

This modern and comprehensive guide to long-range dependence and self-similarity starts with rigorous coverage of the basics, then moves on;

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Scaling, Fractals and Wavelets

commonly used to describe scaling self-similarity, long-range dependence and multi-fractals are introduced. These models are compared and related;

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Scaling and Self-Similarity in Physics

Scaling and Self-Similarity in Physics is een boek van Fra-Hlich;

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Scaling

Scaling laws reveal the fundamental property of phenomena, namely self-similarity - repeating in time and/or space - which substantially;

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Scaling

Scaling laws reveal the fundamental property of phenomena, namely self-similarity - repeating in time and/or space - which substantially;

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Flow Deformation & Fracture

Scaling laws reveal the fundamental property of phenomena, namely self-similarity - repeating in time and/or space - which substantially;

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Cambridge Texts in Applied Mathematics

Scaling laws reveal the fundamental property of phenomena, namely self-similarity - repeating in time and/or space - which substantially;

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Time Series Analysis of Long Memory versus Structural Breaks

time series analysis and then studies the long memory versus structural breaks debate. A detailed study of an error duration model gives a nice;

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Long Memory in Economics

empirical features. We thus also present in this book recent statistical methods able to discriminate between the long-memory and change-point;

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Fractal Dimension for Fractal Structures

properly calculating the self-similarity exponent of a wide range of processes, including (fractional) Brownian motion and Levy stable processes;

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Fractal Patterns in Nonlinear Dynamics and Applications

review fractals without explaining what scaling and self-similarity means. This book introduces the idea of scaling, self-similarity, scale;

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Fractal Patterns in Nonlinear Dynamics and Applications

review fractals without explaining what scaling and self-similarity means. This book introduces the idea of scaling, self-similarity, scale;

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Statistics for Long-Memory Processes

Statistical Methods for Long Term Memory Processes covers the diverse statistical methods and applications for data with long-range;

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Azimuthal Walsh Filters

explores the inherent self-similarity presented in various orders of these filters, classifying them into self-similar groups and sub-groups;

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Fractional Calculus and Fractional Processes with Applications to Financial Economics

long-range memory, path-dependence, non-Markovian properties, self-similarity, fractal paths, and anomalous diffusion behaviour. In this book;

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Chaos & Fractals An Elementary Intro

with the self-similarity and box-counting dimensions. After a brief discussion of power laws, subsequent chapters explore Julia Sets and the;

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Selfsimilar Processes

long been postulated as a means to model this behavior, and the concept of selfsimilarity for a stochastic process is now proving to be;

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Spatial Analysis for the Social Sciences

Many theories in the social sciences predict spatial dependence or the similarity of behaviors at neighboring locations. Spatial Analysis;

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Spatial Analysis for the Social Sciences

Many theories in the social sciences predict spatial dependence or the similarity of behaviors at neighboring locations. Spatial Analysis;

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Correlations And Fluctuations

include: dynamical and Bose-Einstein correlations, multiplicity fluctuation, soft photons, disoriented chiral condensate, self-similarity and self;

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Crystal-Liquid-Gas Phase Transitions and Thermodynamic Similarity

and liquid-liquid phase transitions for binary systems employing the novel methodology of thermodynamic similarity.;

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Introduction To Econophysics

physics concepts such as stochastic dynamics, short- and long-range correlations, self-similarity and scaling permit an understanding of the;

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Introduction to Econophysics

physics concepts such as stochastic dynamics, short- and long-range correlations, self-similarity and scaling permit an understanding of the;

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Self-Similarity and Beyond

in seeking them out. Self-Similarity and Beyond presents a myriad of approaches to finding exact solutions for a diversity of nonlinear problems;

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Self-Similarity and Beyond

in seeking them out. Self-Similarity and Beyond presents a myriad of approaches to finding exact solutions for a diversity of nonlinear problems;

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Statistical Analysis of Graph Structures in Random Variable Networks

measures of similarity (dependence) are discussed, and general statistical properties of identification algorithms are studied. The volume also;

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Turbulence

and three dimensions, and weak turbulence in systems of one and two dimensions. Among them are extended self-similarity, numerical simulations;

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