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The Fundamentals of Heavy Tails : Properties, Emergence, and Estimation.
・ISBN 978-1-316-51173-2 hard GB£ 55.00
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電子版あり 大学・学術機関向け電子ブック(eBook)ISBN 978-1-009-05373-0
| 著者・編者 | Nair, Jayakrishnan / Wierman, Adam / Zwart, Bert, |
|---|---|
| シリーズ | Cambridge Series in Statistical and Probabilistic Mathematics |
| 出版社 | (Cambridge U. Pr., UK) |
| 出版年月 | 2022.06 |
| ページ数 | 264 pp. |
| 言語 | ENG |
| ニュース番号 | <681-195> |
解説
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.