Stochastic Analysis of Scaling Time Series

Discover the intricate world of data analysis with "Stochastic Analysis of Scaling Time Series" by François G. Schmitt, published by Cambridge University Press in 2016. This insightful hardback spans 226 pages and dives deep into a range of statistical methods designed to extract multi-scale information from time series data, with a particular focus on turbulence. Ideal for graduate students and researchers alike, the book is enriched with practical case studies and accompanying MATLAB codes, enhancing your learning experience. Whether you're looking to deepen your expertise or explore new analytical techniques, this comprehensive resource is a must-have for anyone passionate about stochastic and time-series analysis.