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Earthquake statistical analysis through multi-state modeling

Author: Irene Votsi; N Limnios; Eleftheria Papadimitriou; Georgios Tsaklidis
Publisher: London : Wiley-ISTE, 2019. ©2019
Series: Mathematics and statistics series (ISTE)., Statistical methods for earthquakes set ;, v. 2.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Summary:
Earthquake occurrence modeling is a rapidly developing research area. This book deals with its critical issues, ranging from theoretical advances to practical applications. The introductory chapter outlines state-of-the-art earthquake modeling approaches based on stochastic models. Chapter 2 presents seismogenesis in association with the evolving stress field. Chapters 3 to 5 present earthquake occurrence modeling  Read more...
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Genre/Form: Electronic books
Additional Physical Format: Print version:
Votsi, Irene.
Multistate models in earthquake modeling.
London : Wiley-ISTE, 2018
(OCoLC)1063635680
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Irene Votsi; N Limnios; Eleftheria Papadimitriou; Georgios Tsaklidis
ISBN: 9781119579069 1119579066 9781119579076 1119579074
OCLC Number: 1081304536
Description: 1 online resource (xxxv, 138 pages) : illustrations
Contents: Fundamentals on stress changes --
Hidden Markov models --
HIdden Markov renewal models --
Hitting time intensity --
Models comparison.
Series Title: Mathematics and statistics series (ISTE)., Statistical methods for earthquakes set ;, v. 2.
Responsibility: Irene Votsi, Nikolaos Limnios, Eleftheria Papadimitriou, Georgios Tsaklidis.

Abstract:

Earthquake occurrence modeling is a rapidly developing research area. This book deals with its critical issues, ranging from theoretical advances to practical applications. The introductory chapter outlines state-of-the-art earthquake modeling approaches based on stochastic models. Chapter 2 presents seismogenesis in association with the evolving stress field. Chapters 3 to 5 present earthquake occurrence modeling by means of hidden (semi- )Markov models and discuss associated characteristic measures and relative estimation aspects. Further comparisons, the most important results and our concluding remarks are provided in Chapters 6 and 7. This book is mainly intended for statisticians, mathematicians working in applied probability, and theoretically-oriented geophysicists and engineers interested in semi-Markov process theories, but it could be equally supportive to Master's and PhD students and professional researchers interested in stochastic modeling for probing the nature of earthquake phenomena.

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