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Time Series Analysis in Seismology: Practical Applications

Autor Alejandro Ramírez-Rojas, Leonardo Di G. Sigalotti, Otto Rendón, Elsa Leticia Flores Márquez
en Limba Engleză Paperback – 2 aug 2019
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.


  • Presents the necessary tools for time series analysis as it relates to seismology in a compact and consistent manner
  • Includes a discussion of technical resources that can be applied to time series data analysis across multiple disciplines
  • Describes the methods and techniques available for solving problems related to the analysis of complex data sets
  • Provides exercises at the end of each chapter to enhance comprehension
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Specificații

ISBN-13: 9780128149010
ISBN-10: 0128149019
Pagini: 404
Dimensiuni: 191 x 235 x 23 mm
Greutate: 0.69 kg
Editura: ELSEVIER SCIENCE

Public țintă

Upper-level students and professionals in seismology and geophysics, as well as researchers and engineers from other fields that deal with time series analysis, including natural hazards, atmospheric and climate sciences, etc

Cuprins

1. Overview of open problems in seismology 2. Stochastic processes 3. Fractal time series 4. Non-extensive statistics in time series: Tsallis theory. 5. Natural time analysis 6. Visibility graph analysis 7. Multiscale analysis in time series 8. Complexity measures 9. Challenges in seismology