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The Fundamentals of Heavy Tails - Properties, Emergence, and Estimation (Hardcover) Loot Price: R1,546
Discovery Miles 15 460
You Save: R117 (7%)
The Fundamentals of Heavy Tails - Properties, Emergence, and Estimation (Hardcover): Jayakrishnan Nair, Adam Wierman, Bert Zwart

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

Jayakrishnan Nair, Adam Wierman, Bert Zwart

Series: Cambridge Series in Statistical and Probabilistic Mathematics

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Was R1,663 Loot Price R1,546 Discovery Miles 15 460 | Repayment Terms: R145 pm x 12* You Save R117 (7%)

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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
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LSN: 1-316-51173-1
Barcode: 9781316511732

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