Statistical Methods and Modeling of Seismogenesis

The study of earthquakes is a multidisciplinary field that involves geodynamics, mathematics, engineering, and more. Stochastic studies (probability, stochastic processes, and statistics) can be of different types, such as the black box approach, the white box approach, the simulation of different aspects, and so on. This book brings together international authors known for their earthquake-specific approaches to cover a wide array of topics, including statistical nonparametric and parametric methods, a multi-state system approach, earthquake simulators, post-seismic activity models, time series Markov models with regression, scaling properties, and multifractal approaches, self-correcting models, the linked stress release model, Markovian arrival models, Poisson-based detection techniques, change point detection techniques on seismicity models, and semi-Markov models for earthquake forecasting.

Format: Hardback
Length: 336 pages
Publication date: 22 June 2021
Publisher: ISTE Ltd

The captivating field of earthquakes encompasses a diverse array of disciplines, seamlessly merging geodynamics, mathematics, engineering, and numerous other fields. What unites these diverse disciplines is a fundamental characteristic: the inherent presence of natural randomness. Within this realm, stochastic studies, a branch that encompasses probability, stochastic processes, and statistics, takes center stage. These studies can manifest in various forms, such as the black box approach, which focuses on a single state, the white box approach, which explores multi-state scenarios, the simulation of different aspects, and more.

This remarkable book stands out for its exceptional ability to bring together a collective of esteemed international authors, renowned for their specialized expertise in earthquakes. Their collective contributions span a vast spectrum of these intricate aspects, ensuring comprehensive coverage. The book presents a diverse range of topics, encompassing statistical nonparametric and parametric methods, a multi-state system approach, earthquake simulators, post-seismic activity models, time series Markov models with regression, scaling properties, and multifractal approaches. Additionally, it delves into self-correcting models, the linked stress release model, Markovian arrival models, Poisson-based detection techniques, change point detection techniques on seismicity models, and semi-Markov models for earthquake forecasting.

By exploring these diverse topics, this book serves as a valuable resource for researchers, scientists, engineers, and practitioners alike. It provides a comprehensive understanding of the complex mechanisms underlying earthquakes, enabling individuals to develop more effective strategies for preparedness, response, and recovery. The interdisciplinary nature of the study of earthquakes underscores the importance of collaboration and interdisciplinary approaches in addressing this global challenge. As we continue to grapple with the impact of earthquakes on societies, the insights and knowledge presented in this book offer a promising path forward for a safer and more resilient future.

Weight: 734g
Dimension: 164 x 240 x 28 (mm)
ISBN-13: 9781789450378