The Fundamentals of Heavy Tails - Properties, Emergence, and Estimation (Hardcover)

Heavy tails -extreme events or values more common than expected -emerge everywhere: the economy, natural events, and social and information networks are just a few examples. Yet after decades of progress, they are still treated as mysterious, surprising, and even controversial, primarily because the necessary mathematical models and statistical methods are not widely known. This book, for the first time, provides a rigorous introduction to heavy-tailed distributions accessible to anyone who knows elementary probability. It tackles and tames the zoo of terminology for models and properties, demystifying topics such as the generalized central limit theorem and regular variation. It tracks the natural emergence of heavy-tailed distributions from a wide variety of general processes, building intuition. And it reveals the controversy surrounding heavy tails to be the result of flawed statistics, then equips readers to identify and estimate with confidence. Over 100 exercises complete this engaging package.

General

Imprint:	Cambridge UniversityPress
Country of origin:	United Kingdom
Series:	Cambridge Series in Statistical and Probabilistic Mathematics
Release date:	June 2022
Authors:	Jayakrishnan Nair • Adam Wierman • Bert Zwart
Dimensions:	260 x 183 x 12mm (L x W x T)
Format:	Hardcover
Pages:	264
ISBN-13:	978-1-316-51173-2
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics Books > Computing & IT > General theory of computing > General Books > Computing & IT > Applications of computing > General Books > Reference & Interdisciplinary > Communication studies > Information theory > General Books > Business & Economics > Economics > Econometrics > General Books > Business & Economics > Finance & accounting > Finance > General Books > Professional & Technical > Energy technology & engineering > Electrical engineering > General Books > Money & Finance > General Promotions
LSN:	1-316-51173-1
Barcode:	9781316511732

Is the information for this product incomplete, wrong or inappropriate? Let us know about it.

Does this product have an incorrect or missing image? Send us a new image.

Is this product missing categories? Add more categories.

Review This Product

No reviews yet - be the first to create one!