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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...
| Clasificación: | Libro Electrónico |
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| Autores principales: | , , , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
London :
John Wiley & Sons, Incorporated,
2019.
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| Colección: | Mathematics and statistics series (ISTE). Statistical methods for earthquakes set ;
v. 2. |
| Temas: | |
| Acceso en línea: | Texto completo |
| Sumario: | 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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| Descripción Física: | 1 online resource (184 pages) : illustrations |
| Bibliografía: | Includes bibliographical references and index. |
| ISBN: | 9781119579069 1119579066 9781119579076 1119579074 |