Introduces the theory, numerical algorithms, and statistical methods associated with stable distributions with an accessible, non-technical approachHighlights the many practical applications of stables distributions, including in finance, statistics, engineering, physics, and morePresents a number of helpful exercises, as well as links to free software to apply the models in practice

John Nolan received his PhD from the University of Virginia, and has taught at the University of Zambia, Kenyon College, and American University. He also worked in a software firm, developing systems for intensive care units. His main research interests are in models for heavy tailed data and extremes.