UID:
almafu_9959327222802883
Format:
1 online resource (xxxv, 138 pages) :
,
illustrations
ISBN:
9781119579069
,
1119579066
,
9781119579076
,
1119579074
Series Statement:
Statistical methods for earthquakes set ; volume 2
Content:
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.
Note:
Fundamentals on stress changes -- Hidden Markov models -- HIdden Markov renewal models -- Hitting time intensity -- Models comparison.
Additional Edition:
Print version: Votsi, Irene. Multistate models in earthquake modeling. London : Wiley-ISTE, 2018 ISBN 9781786301505
Language:
English
Keywords:
Electronic books.
;
Electronic books.
;
Electronic books.
;
Electronic books.
URL:
https://onlinelibrary.wiley.com/doi/book/10.1002/9781119579076
URL:
https://onlinelibrary.wiley.com/doi/book/10.1002/9781119579076
URL:
https://onlinelibrary.wiley.com/doi/book/10.1002/9781119579076
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