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Stable Distributions: Models for Heavy-Tailed Data

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  • 352 pages
  • 13 hours of reading

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Focusing on stable distributions, this book bridges the gap between their intriguing mathematical properties and practical applications in real systems. It offers a comprehensive, self-contained derivation of these distributions, enhancing understanding and intuition. Additionally, it introduces accurate numerical methods for computing stable laws, making it a valuable resource for those looking to apply stable distributions in various fields.

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Stable Distributions: Models for Heavy-Tailed Data, John Nolan

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Released
2007
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(Hardcover)
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