Name: Time Series Analysis in Seismology: Practical Applications (en Inglés)
Price: 168.42 USD
Availability: InStock
Author: Alejandro RamÍRez-Rojas; Leonardo Di G. Sigalotti; Flores MÁRquez, Elsa Leticia; Otto RendÓN
ISBN: 9780128149010

portada Time Series Analysis in Seismology: Practical Applications (en Inglés)

Formato

Libro Físico

Editorial

Elsevier

Autor

Alejandro RamÍRez-Rojas; Leonardo Di G. Sigalotti; Flores MÁRquez, Elsa Leticia; Otto RendÓN

Año

2019

Idioma

Inglés

N° páginas

404

Encuadernación

Tapa Blanda

ISBN13

9780128149010

N° edición

Time Series Analysis in Seismology: Practical Applications (en Inglés)

Alejandro RamÍRez-Rojas; Leonardo Di G. Sigalotti; Flores MÁRquez, Elsa Leticia; Otto RendÓN (Autor) · Elsevier · Tapa Blanda

Libro Físico

$ 168.42

$ 228.57

Ahorras: $ 60.15

26% descuento

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Reseña del libro "Time Series Analysis in Seismology: Practical Applications (en Inglés)"

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 mannerIncludes a discussion of technical resources that can be applied to time series data analysis across multiple disciplinesDescribes the methods and techniques available for solving problems related to the analysis of complex data setsProvides exercises at the end of each chapter to enhance comprehension