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Earthquake statistical analysis through multi-state modeling /

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 present...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Votsi, Irene (Autor), Limnios, N. (Nikolaos) (Autor), Papadimitriou, Eleftheria (Autor), Tsaklidis, Georgios (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: London : John Wiley & Sons, Incorporated, 2019.
Colección:Mathematics and statistics series (ISTE). Statistical methods for earthquakes set ; v. 2.
Temas:
Acceso en línea:Texto completo

MARC

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100 1 |a Votsi, Irene,  |e author. 
245 1 0 |a Earthquake statistical analysis through multi-state modeling /  |c Irene Votsi, Nikolaos Limnios, Eleftheria Papadimitriou, Georgios Tsaklidis. 
264 1 |a London :  |b John Wiley & Sons, Incorporated,  |c 2019. 
264 4 |c ©2019 
300 |a 1 online resource (184 pages) :  |b illustrations 
336 |a text  |b txt  |2 rdacontent 
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338 |a online resource  |b cr  |2 rdacarrier 
490 1 |a Statistical methods for earthquakes set ;  |v volume 2 
588 0 |a Print version record. 
504 |a Includes bibliographical references and index. 
505 0 |a Fundamentals on stress changes -- Hidden Markov models -- HIdden Markov renewal models -- Hitting time intensity -- Models comparison. 
520 |a 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. 
590 |a ProQuest Ebook Central  |b Ebook Central Academic Complete 
650 0 |a Earthquakes  |x Mathematical models. 
650 6 |a Tremblements de terre  |x Modèles mathématiques. 
650 7 |a Earthquakes  |x Mathematical models  |2 fast 
700 1 |a Limnios, N.  |q (Nikolaos),  |e author. 
700 1 |a Papadimitriou, Eleftheria,  |e author. 
700 1 |a Tsaklidis, Georgios,  |e author. 
758 |i has work:  |a Multistate models in earthquake modeling (Text)  |1 https://id.oclc.org/worldcat/entity/E39PCFCHJFvHF4jyGX3cpbBpT3  |4 https://id.oclc.org/worldcat/ontology/hasWork 
776 0 8 |i Print version:  |a Votsi, Irene.  |t Multistate Models in Earthquake Modeling.  |d Newark : John Wiley & Sons, Incorporated, ©2019  |z 9781786301505 
830 0 |a Mathematics and statistics series (ISTE).  |p Statistical methods for earthquakes set ;  |v v. 2. 
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