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A Practical Guide to Heavy Tails. Statistical Techniques and Applications

A Practical Guide to Heavy Tails. Statistical Techniques and Applications

A Practical Guide to Heavy Tails. Statistical Techniques and Applications
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A Practical Guide to Heavy Tails. Statistical Techniques and Applications Hardback - 1998 - 1st Edition

by Adler, Robert J., Feldman, Raisa E., Taqqu, Murad S., editors

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This volume contains a unique collection of mathematical essays that resent a battery of techniques and approaches for the statistical analysis of heavy tailed distributions and processes. The articles cover a number of applications of heavy tailed modeling, running the gamut from insurance and finance, to telecommunications and the World Wide Web, and classical signal/noise detection problems.

Description

Birkhauser, 1998. 534 pp., Hardcover, very good. - If you are reading this, this item is actually (physically) in our stock and ready for shipment once ordered. We are not bookjackers. Buyer is responsible for any additional duties, taxes, or fees required by recipient's country.
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Details

  • Title A Practical Guide to Heavy Tails. Statistical Techniques and Applications
  • Author Adler, Robert J., Feldman, Raisa E., Taqqu, Murad S., editors
  • Binding Hardback
  • Edition number 1st
  • Edition 1
  • Pages 534
  • Volumes 1
  • Language ENG
  • Publisher Birkhauser
  • Publication date 1998
  • Illustrated Yes
  • Features Illustrated
  • Bookseller's Inventory # ZB1316649
  • ISBN 9780817639518 / 0817639519
  • Weight 2.55 lbs (1.16 kg)
  • Dimensions 10.26 x 7.29 x 1.21 in (26.06 x 18.52 x 3.07 cm)
  • Category Mathematics
  • Library of Congress subjects Gaussian processes, Gaussian distribution
  • Library of Congress Catalogue Number 97008731
  • Dewey Decimal Code 519.24

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Reader reviews for A Practical Guide to Heavy Tails. Statistical Techniques and Applications

From the publisher

Presents techniques and approaches for the statistical analysis of heavy-tailed distributions and processes, with a focus on applicability rather than theory. Emphasis is placed upon numerical problems associated with stable distributions, time series analysis and regression.

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