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Multi-scale systems, involving complex interacting processes that occur over a range of temporal and spatial scales, are present in a broad range of disciplines. Several methodologies exist to retrieve this multi-scale information from a given time series; however, each method has its own limitations. This book presents the mathematical theory behind the stochastic analysis of scaling time series, including a general historical introduction to the problem of intermittency in turbulence, as well as how to implement this analysis for a range of different applications. Covering a variety of statistical methods, such as Fourier analysis and wavelet transforms, it provides readers with a thorough understanding of the techniques and when to apply them. New techniques to analyse stochastic processes, including empirical mode decomposition, are also explored. Case studies, in turbulence and ocean sciences, are used to demonstrate how these statistical methods can be applied in practice, for st

The relationship between economic and political thinking has reached a crisis at the end of the 20th century. Already at the beginning of this century, in Roman Catholicism and Political Form, Carl S

A cutting-edge photographic field guide to the birds of ChileThis is the first modern-style photographic field guide to the birds of Chile, an increasingly popular destination with birders and natural

In spite of great advance made by ENT and maxillofacial surgeons as well as radiotherapists to improve therapy of cancer of the oral cavity and oropharynx, it has not been possible in the past 4 decad

Pain is an unpleasant but very important biological signal for danger. Nociception is necessary for survival and maintaining the integrity of the organism in a potentially hostile environment. Pain is

This book demonstrates how the primate hand combines both primitive and novel morphology, both general function with specialization, and both a remarkable degree of diversity within some clades and ye