The Fundamentals of Heavy Tails

谷歌圖書
The Fundamentals of Heavy Tails

登入後可管理標記收藏

ISBN: 9781316511732
作者: Jayakrishnan Nair / Adam Wierman / Bert Zwart
出版社: 劍橋大學出版社
發行時間: 2022 -06
語言: 英語
頁數: 264

/ 10

0 個評分

評分人數不足
借閱或購買

Jayakrishnan Nair / Adam Wierman   

簡介

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.

短評
評論
筆記