Extreme Value and Record Statistics in Heavy‐Tailed Processes with Long‐Range Memory

This chapter contains sections titled: Introduction Classical Extreme Value Statistics Classical Record Statistics Heavy‐Tailed Processes with Long‐Range Memory Effects of Long‐Range Memory on the Statistical Properties of Sαs Processes Application: Solar Power Input into the Earth'S Magnetosph...

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Published inExtreme Events and Natural Hazards: The Complexity Perspective pp. 315 - 334
Main Authors Schumann, Aicko Y, Moloney, Nicholas R, Davidsen, Jörn
Format Book Chapter
LanguageEnglish
Published Washington, D. C American Geophysical Union 01.01.2012
Online AccessGet full text
ISBN0875904866
9780875904863
DOI10.1029/2011GM001088

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Abstract This chapter contains sections titled: Introduction Classical Extreme Value Statistics Classical Record Statistics Heavy‐Tailed Processes with Long‐Range Memory Effects of Long‐Range Memory on the Statistical Properties of Sαs Processes Application: Solar Power Input into the Earth'S Magnetosphere Summary
AbstractList This chapter contains sections titled: Introduction Classical Extreme Value Statistics Classical Record Statistics Heavy‐Tailed Processes with Long‐Range Memory Effects of Long‐Range Memory on the Statistical Properties of Sαs Processes Application: Solar Power Input into the Earth'S Magnetosphere Summary
Author Moloney, Nicholas R
Davidsen, Jörn
Schumann, Aicko Y
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  givenname: Nicholas R
  surname: Moloney
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  organization: Max Planck Institute for the Physics of Complex Systems, Dresden, Germany
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  surname: Davidsen
  fullname: Davidsen, Jörn
  organization: Complexity Science Group, Department of Physics and Astronomy, University of Calgary, Calgary, Alberta, Canada
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Copyright Copyright 2012 by the American Geophysical Union.
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Baker, Daniel N
Sharma, A. Surjalal
Dimri, Vijay P
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Title Extreme Value and Record Statistics in Heavy‐Tailed Processes with Long‐Range Memory
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