Stochastic analysis of scaling time series: from turbulence theory to applications
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Description
Content: Preface 1. Introduction: a multiscale and turbulent-like world 2. Homogeneous turbulence and intermittency 3. Scaling and intermittent stochastic processes 4. New methodologies to deal with nonlinear and scaling time series 5. Applications: case studies in turbulence 6. Applications: case studies in ocean and atmospheric sciences References Index.
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