Time Series Analysis in Seismology: Practical Applications

✍ Scribed by Alejandro Ramírez-Rojas, Leonardo Di G. Sigalotti, Elsa Leticia Flores Márquez, Otto Rendón

Publisher: Elsevier
Year: 2019
Tongue: English
Leaves: 397
Edition: 1
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

Time Series Analysis in Seismology: Practical Applications provides technical assistance and coverage of available methods to professionals working in the field of seismology. Beginning with a thorough review of open problems in geophysics, including tectonic plate dynamics, localization of solitons, and forecasting, the book goes on to describe the various types of time series or punctual processes obtained from those systems. Additionally, the book describes a variety of methods and techniques relating to seismology and includes a discussion of future developments and improvements.

Time Series Analysis in Seismology offers a concise presentation of the most recent advances in the analysis of geophysical data, particularly with regard to seismology, making it a valuable tool for researchers and students working in seismology and geophysics.

✦ Table of Contents

Overview of open problems in seismology
Stochastic processes
Fractal time series
Non-extensive statistics in time series: Tsallis theory.
Natural time analysis
Visibility graph analysis
Multiscale analysis in time series
Complexity measures
Challenges in seismology

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