Time Series Analysis in Seismology

Time Series Analysis in Seismology
Author: Alejandro Ramírez-Rojas,Leonardo Di G. Sigalotti,Elsa Leticia Flores Márquez,Otto Rendón
Publsiher: Elsevier
Total Pages: 404
Release: 2019-08-02
ISBN 10: 0128149027
ISBN 13: 9780128149027
Language: EN, FR, DE, ES & NL

Time Series Analysis in Seismology Book Review:

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

Complexity of Seismic Time Series

Complexity of Seismic Time Series
Author: Tamaz Chelidze,Filippos Vallianatos,Luciano Telesca
Publsiher: Elsevier
Total Pages: 546
Release: 2018-05-21
ISBN 10: 012813139X
ISBN 13: 9780128131398
Language: EN, FR, DE, ES & NL

Complexity of Seismic Time Series Book Review:

Complexity of Seismic Time Series: Measurement and Application applies the tools of nonlinear dynamics to seismic analysis, allowing for the revelation of new details in micro-seismicity, new perspectives in seismic noise, and new tools for prediction of seismic events. The book summarizes both advances and applications in the field, thus meeting the needs of both fundamental and practical seismology. Merging the needs of the classical field and the very modern terms of complexity science, this book covers theory and its application to advanced nonlinear time series tools to investigate Earth’s vibrations, making it a valuable tool for seismologists, hazard managers and engineers. Covers the topic of Earth’s vibrations involving many different aspects of theoretical and observational seismology Identifies applications of advanced nonlinear time series tools for the characterization of these Earth’s signals Merges the needs of geophysics with the applications of complexity theory Describes different methodologies to analyze problems, not only in the context of geosciences, but also those associated with different complex systems across disciplines

Time Series Analysis and Applications to Geophysical Systems

Time Series Analysis and Applications to Geophysical Systems
Author: David Brillinger,Enders Anthony Robinson,Frederic Paik Schoenberg
Publsiher: Springer Science & Business Media
Total Pages: 260
Release: 2012-12-06
ISBN 10: 1468493868
ISBN 13: 9781468493863
Language: EN, FR, DE, ES & NL

Time Series Analysis and Applications to Geophysical Systems Book Review:

This IMA Volume in Mathematics and its Applications TIME SERIES ANALYSIS AND APPLICATIONS TO GEOPHYSICAL SYSTEMS contains papers presented at a very successful workshop on the same title. The event which was held on November 12-15, 2001 was an integral part of the IMA 2001-2002 annual program on " Mathematics in the Geosciences. " We would like to thank David R. Brillinger (Department of Statistics, Uni versity of California, Berkeley), Enders Anthony Robinson (Department of Earth and Environmental Engineering, Columbia University), and Fred eric Paik Schoenberg (Department of Statistics, University of California, Los Angeles) for their superb role as workshop organizers and editors of the proceedings. We are also grateful to Robert H. Shumway (Department of Statistics, University of California, Davis) for his help in organizing the four-day event. We take this opportunity to thank the National Science Foundation for its support of the IMA. Series Editors Douglas N. Arnold, Director of the IMA Fadil Santosa, Deputy Director of the IMA v PREFACE This volume contains a collection of papers that were presented dur ing the Workshop on Time Series Analysis and Applications to Geophysical Systems at the Institute for Mathematics and its Applications (IMA) at the University of Minnesota from November 12-15, 2001. This was part of the IMA Thematic Year on Mathematics in the Geosciences, and was the last in a series of four Workshops during the Fall Quarter dedicated to Dynamical Systems and Ergodic Theory.

Time Series Analysis and Inverse Theory for Geophysicists

Time Series Analysis and Inverse Theory for Geophysicists
Author: David Gubbins
Publsiher: Cambridge University Press
Total Pages: 329
Release: 2004-03-18
ISBN 10: 1316582930
ISBN 13: 9781316582930
Language: EN, FR, DE, ES & NL

Time Series Analysis and Inverse Theory for Geophysicists Book Review:

This unique textbook provides the foundation for understanding and applying techniques commonly used in geophysics to process and interpret modern digital data. The geophysicist's toolkit contains a range of techniques which may be divided into two main groups: processing, which concerns time series analysis and is used to separate the signal of interest from background noise; and inversion, which involves generating some map or physical model from the data. These two groups of techniques are normally taught separately, but are here presented together as parts I and II of the book. Part III describes some real applications and includes case studies in seismology, geomagnetism, and gravity. This textbook gives students and practitioners the theoretical background and practical experience, through case studies, computer examples and exercises, to understand and apply new processing methods to modern geophysical datasets. Solutions to the exercises are available on a website at http://publishing.cambridge.org/resources/0521819652

Time Sequence Analysis in Geophysics Third Edition

Time Sequence Analysis in Geophysics  Third Edition
Author: E. R. Kanasewich
Publsiher: University of Alberta
Total Pages: 480
Release: 1981
ISBN 10: 9780888640741
ISBN 13: 0888640749
Language: EN, FR, DE, ES & NL

Time Sequence Analysis in Geophysics Third Edition Book Review:

Time sequence analysis is the study of relations between a sequence of data points or sequence of signals in order to determine the physical properties of the earth. Providing an up-to-date treatment on time series and time sequence, this book is intended for senior or graduate students in seismology, geomagnetism and exploratory geophysics.

Time Sequence Analysis in Geophysics

Time Sequence Analysis in Geophysics
Author: E. R. Kanasewich
Publsiher: Anonim
Total Pages: 352
Release: 1974
ISBN 10:
ISBN 13: UCAL:B4143668
Language: EN, FR, DE, ES & NL

Time Sequence Analysis in Geophysics Book Review:

Time sequence analysis is the study of relations between a sequence of data points or sequence of signals in order to determine the physical properties of the earth. Providing an up-to-date treatment on time series and time sequence, this book is intended for senior or graduate students in seismology, geomagnetism and exploratory geophysics.

Time Series Analysis and Inverse Theory for Geophysicists

Time Series Analysis and Inverse Theory for Geophysicists
Author: David Gubbins
Publsiher: Cambridge University Press
Total Pages: 255
Release: 2004-03-18
ISBN 10: 9780521525695
ISBN 13: 0521525691
Language: EN, FR, DE, ES & NL

Time Series Analysis and Inverse Theory for Geophysicists Book Review:

The first textbook covering spectral analysis and geophysical data inversion for undergraduate and graduate students.

Applied Time Series Analysis

Applied Time Series Analysis
Author: David F. Findley
Publsiher: Academic Press
Total Pages: 356
Release: 2014-05-10
ISBN 10: 1483263940
ISBN 13: 9781483263946
Language: EN, FR, DE, ES & NL

Applied Time Series Analysis Book Review:

Applied Time Series Analysis contains the proceedings of the First Applied Time Series Symposium held in Tulsa, Oklahoma, on May 14-15, 1976. The symposium provided a forum for reviewing various applications of time series analysis and covered topics ranging from nonlinear time series modeling and G-spectral estimation to multivariate autoregression estimation using residuals. Adaptive processing of seismic data and the application of homomorphic filtering to seismic data processing are also discussed. Comprised of 10 chapters, this book begins by describing the application of parametric models to the analysis and control of time series using some numerical examples. The reader is then introduced to nonlinear time series modeling; two-dimensional recursive filtering in theory and practice; and spectral estimators. Waves propagating in random media as statistical time series are also considered. The book concludes with a chapter that illustrates how the intensity of a Poisson process is estimated, with emphasis on a time series approach to the fixed signal case, invariant testing, and spline estimation. This monograph will be a useful resource for students and practitioners in the fields of mathematics and statistics, electrical engineering, and computer science.

Time Series Modeling of Neuroscience Data

Time Series Modeling of Neuroscience Data
Author: Tohru Ozaki
Publsiher: CRC Press
Total Pages: 574
Release: 2012-01-26
ISBN 10: 1420094610
ISBN 13: 9781420094619
Language: EN, FR, DE, ES & NL

Time Series Modeling of Neuroscience Data Book Review:

Recent advances in brain science measurement technology have given researchers access to very large-scale time series data such as EEG/MEG data (20 to 100 dimensional) and fMRI (140,000 dimensional) data. To analyze such massive data, efficient computational and statistical methods are required. Time Series Modeling of Neuroscience Data shows how to efficiently analyze neuroscience data by the Wiener-Kalman-Akaike approach, in which dynamic models of all kinds, such as linear/nonlinear differential equation models and time series models, are used for whitening the temporally dependent time series in the framework of linear/nonlinear state space models. Using as little mathematics as possible, this book explores some of its basic concepts and their derivatives as useful tools for time series analysis. Unique features include: A statistical identification method of highly nonlinear dynamical systems such as the Hodgkin-Huxley model, Lorenz chaos model, Zetterberg Model, and more Methods and applications for Dynamic Causality Analysis developed by Wiener, Granger, and Akaike A state space modeling method for dynamicization of solutions for the Inverse Problems A heteroscedastic state space modeling method for dynamic non-stationary signal decomposition for applications to signal detection problems in EEG data analysis An innovation-based method for the characterization of nonlinear and/or non-Gaussian time series An innovation-based method for spatial time series modeling for fMRI data analysis The main point of interest in this book is to show that the same data can be treated using both a dynamical system and time series approach so that the neural and physiological information can be extracted more efficiently. Of course, time series modeling is valid not only in neuroscience data analysis but also in many other sciences and engineering fields where the statistical inference from the observed time series data plays an important role.

An Introduction to Seismology Earthquakes and Earth Structure

An Introduction to Seismology  Earthquakes  and Earth Structure
Author: Seth Stein,Michael Wysession
Publsiher: John Wiley & Sons
Total Pages: 512
Release: 2013-05-30
ISBN 10: 1118687450
ISBN 13: 9781118687451
Language: EN, FR, DE, ES & NL

An Introduction to Seismology Earthquakes and Earth Structure Book Review:

An Introduction to Seismology, Earthquakes and Earth Structures is an introduction to seismology and its role in the earth sciences, and is written for advanced undergraduate and beginning graduate students. The fundamentals of seismic wave propagation are developed using a physical approach and then applied to show how refraction, reflection, and teleseismic techniques are used to study the structure and thus the composition and evolution of the earth. The book shows how seismic waves are used to study earthquakes and are integrated with other data to investigate the plate tectonic processes that cause earthquakes. Figures, examples, problems, and computer exercises teach students about seismology in a creative and intuitive manner. Necessary mathematical tools including vector and tensor analysis, matrix algebra, Fourier analysis, statistics of errors, signal processing, and data inversion are introduced with many relevant examples. The text also addresses the fundamentals of seismometry and applications of seismology to societal issues. Special attention is paid to help students visualize connections between different topics and view seismology as an integrated science. An Introduction to Seismology, Earthquakes, and Earth Structure gives an excellent overview for students of geophysics and tectonics, and provides a strong foundation for further studies in seismology. Multidisciplinary examples throughout the text - catering to students in varied disciplines (geology, mineralogy, petrology, physics, etc.). Most up to date book on the market - includes recent seismic events such as the 1999 Earthquakes in Turkey, Greece, and Taiwan). Chapter outlines - each chapter begins with an outline and a list of learning objectives to help students focus and study. Essential math review - an entire section reviews the essential math needed to understand seismology. This can be covered in class or left to students to review as needed. End of chapter problem sets - homework problems that cover the material presented in the chapter. Solutions to all odd numbered problem sets are listed in the back so that students can track their progress. Extensive References - classic references and more current references are listed at the end of each chapter. A set of instructor's resources containing downloadable versions of all the figures in the book, errata and answers to homework problems is available at: http://levee.wustl.edu/seismology/book/. Also available on this website are PowerPoint lecture slides corresponding to the first 5 chapters of the book.

Practical Applications of Time lapse Seismic Data

Practical Applications of Time lapse Seismic Data
Author: David H. Johnston
Publsiher: SEG Books
Total Pages: 270
Release: 2013
ISBN 10: 156080307X
ISBN 13: 9781560803072
Language: EN, FR, DE, ES & NL

Practical Applications of Time lapse Seismic Data Book Review:

Time-lapse (4D) seismic technology is a key enabler for improved hydrocarbon recovery and more cost-effective field operations. Practical Applications of Time-lapse Seismic Data (SEG Distinguished Instructor Series No. 16) shows how 4D seismic data are used for reservoir surveillance, how they provide valuable insight on dynamic reservoir properties such as fluid saturation, pressure, and temperature, and how they add value to reservoir management. The material, based on the 2013 SEG Distinguished Instructor Short Course, includes discussions of reservoir-engineering concepts and rock physics critical to the understanding of 4D data, along with topics in 4D seismic acquisition and processing. A primary focus of the book is interpretation and data integration. Case-study examples are used to demonstrate key concepts and are drawn on to demonstrate the range of interpretation methods currently employed by industry and the diversity of geologic settings and production scenarios in which 4D is making a difference. Time-lapse seismic interpretation is inherently integrative, drawing on geophysical, geologic, and reservoir-engineering data and concepts. As a result, this book should be of interest to individuals from all subsurface disciplines.

Natural Time Analysis The New View of Time

Natural Time Analysis  The New View of Time
Author: Panayiotis Varotsos,Nicholas V. Sarlis,Efthimios S. Skordas
Publsiher: Springer Science & Business Media
Total Pages: 452
Release: 2011-08-14
ISBN 10: 3642164498
ISBN 13: 9783642164491
Language: EN, FR, DE, ES & NL

Natural Time Analysis The New View of Time Book Review:

This book deals with the theory and the applications of a new time domain, termed natural time domain, that has been forwarded by the authors almost a decade ago (P.A. Varotsos, N.V. Sarlis and E.S. Skordas, Practica of Athens Academy 76, 294-321, 2001; Physical Review E 66, 011902, 2002). In particular, it has been found that novel dynamical features hidden behind time series in complex systems can emerge upon analyzing them in this new time domain, which conforms to the desire to reduce uncertainty and extract signal information as much as possible. The analysis in natural time enables the study of the dynamical evolution of a complex system and identifies when the system enters a critical stage. Hence, natural time plays a key role in predicting impending catastrophic events in general. Relevant examples of data analysis in this new time domain have been published during the last decade in a large variety of fields, e.g., Earth Sciences, Biology and Physics. The book explains in detail a series of such examples including the identification of the sudden cardiac death risk in Cardiology, the recognition of electric signals that precede earthquakes, the determination of the time of an impending major mainshock in Seismology, and the analysis of the avalanches of the penetration of magnetic flux into thin films of type II superconductors in Condensed Matter Physics. In general, this book is concerned with the time-series analysis of signals emitted from complex systems by means of the new time domain and provides advanced students and research workers in diverse fields with a sound grounding in the fundamentals of current research work on detecting (long-range) correlations in complex time series. Furthermore, the modern techniques of Statistical Physics in time series analysis, for example Hurst analysis, the detrended fluctuation analysis, the wavelet transform etc., are presented along with their advantages when natural time domain is employed.

Computational Structural Engineering

Computational Structural Engineering
Author: Yong Yuan,Junzhi Cui,Herbert A. Mang
Publsiher: Springer Science & Business Media
Total Pages: 1307
Release: 2009-06-05
ISBN 10: 9048128226
ISBN 13: 9789048128228
Language: EN, FR, DE, ES & NL

Computational Structural Engineering Book Review:

Following the great progress made in computing technology, both in computer and programming technology, computation has become one of the most powerful tools for researchers and practicing engineers. It has led to tremendous achievements in computer-based structural engineering and there is evidence that current devel- ments will even accelerate in the near future. To acknowledge this trend, Tongji University, Vienna University of Technology, and Chinese Academy of Engine- ing, co-organized the International Symposium on Computational Structural En- neering 2009 in Shanghai (CSE’09). CSE’09 aimed at providing a forum for presentation and discussion of sta- of-the-art development in scientific computing applied to engineering sciences. Emphasis was given to basic methodologies, scientific development and engine- ing applications. Therefore, it became a central academic activity of the Inter- tional Association for Computational Mechanics (IACM), the European Com- nity on Computational Methods in Applied Sciences (ECCOMAS), The Chinese Society of Theoretical and Applied Mechanic, the China Civil Engineering So- ety, and the Architectural Society of China. A total of 10 invited papers, and around 140 contributed papers were p- sented in the proceedings of the symposium. Contributors of papers came from 20 countries around the world and covered a wide spectrum related to the compu- tional structural engineering.

Seismic Data Analysis

Seismic Data Analysis
Author: Özdoğan Yilmaz,Ozdogan Yilmaz,Stephen M. Doherty
Publsiher: SEG Books
Total Pages: 2027
Release: 2001
ISBN 10: 1560800941
ISBN 13: 9781560800941
Language: EN, FR, DE, ES & NL

Seismic Data Analysis Book Review:

Öz Yilmaz has expanded his original volume on processing to include inversion and interpretation of seismic data. In addition to the developments in all aspects of conventional processing, this two-volume set represents a comprehensive and complete coverage of the modern trends in the seismic industry-from time to depth, from 3-D to 4-D, from 4-D to 4-C, and from isotropy to anisotropy.

Time Series Analysis and Cyclostratigraphy

Time Series Analysis and Cyclostratigraphy
Author: Graham P. Weedon
Publsiher: Cambridge University Press
Total Pages: 329
Release: 2005-09-15
ISBN 10: 9781139435178
ISBN 13: 1139435175
Language: EN, FR, DE, ES & NL

Time Series Analysis and Cyclostratigraphy Book Review:

Increasingly environmental scientists, palaeoceanographers and geologists are collecting quantitative records of environmental changes (time-series) from sediments, ice cores, cave calcite, corals and trees. This book explains how to analyse these records, using straightforward explanations and diagrams rather than formal mathematical derivations. All the main cyclostratigraphic methods are covered including spectral analysis, cross-spectral analysis, filtering, complex demodulation, wavelet and singular spectrum analysis. Practical problems of time-series analysis, including those of distortions of environmental signals during stratigraphic encoding, are considered in detail. Recent research into various types of tidal and climatic cycles is summarised. The book ends with an extensive reference section, and an appendix listing sources of computer algorithms. This book provides the ideal reference for all those using time-series analysis to study the nature and history of climatic and tidal cycles. It is suitable for senior undergraduate and graduate courses in environmental science, palaeoceanography and geology.

Time Series Analysis and Its Applications

Time Series Analysis and Its Applications
Author: Robert H. Shumway,David S. Stoffer
Publsiher: Anonim
Total Pages: 568
Release: 2014-01-15
ISBN 10: 9781475732627
ISBN 13: 1475732627
Language: EN, FR, DE, ES & NL

Time Series Analysis and Its Applications Book Review:

Climate Time Series Analysis

Climate Time Series Analysis
Author: Manfred Mudelsee
Publsiher: Springer Science & Business Media
Total Pages: 474
Release: 2010-08-26
ISBN 10: 9789048194827
ISBN 13: 9048194822
Language: EN, FR, DE, ES & NL

Climate Time Series Analysis Book Review:

Climate is a paradigm of a complex system. Analysing climate data is an exciting challenge, which is increased by non-normal distributional shape, serial dependence, uneven spacing and timescale uncertainties. This book presents bootstrap resampling as a computing-intensive method able to meet the challenge. It shows the bootstrap to perform reliably in the most important statistical estimation techniques: regression, spectral analysis, extreme values and correlation. This book is written for climatologists and applied statisticians. It explains step by step the bootstrap algorithms (including novel adaptions) and methods for confidence interval construction. It tests the accuracy of the algorithms by means of Monte Carlo experiments. It analyses a large array of climate time series, giving a detailed account on the data and the associated climatological questions. This makes the book self-contained for graduate students and researchers.

Statistics in Volcanology

Statistics in Volcanology
Author: Heidy M. Mader
Publsiher: Geological Society of London
Total Pages: 285
Release: 2006
ISBN 10: 9781862392083
ISBN 13: 1862392080
Language: EN, FR, DE, ES & NL

Statistics in Volcanology Book Review:

Statistics in Volcanology is a comprehensive guide to modern statistical methods applied in volcanology written by today's leading authorities. The volume aims to show how the statistical analysis of complex volcanological data sets, including time series, and numerical models of volcanic processes can improve our ability to forecast volcanic eruptions. Specific topics include the use of expert elicitation and Bayesian methods in eruption forecasting, statistical models of temporal and spatial patterns of volcanic activity, analysis of time series in volcano seismology, probabilistic hazard assessment, and assessment of numerical models using robust statistical methods. Also provided are comprehensive overviews of volcanic phenomena, and a full glossary of both volcanological and statistical terms. Statistics in Volcanology is essential reading for advanced undergraduates, graduate students, and research scientists interested in this multidisciplinary field.

Practical Seismic Data Analysis

Practical Seismic Data Analysis
Author: Hua-Wei Zhou
Publsiher: Cambridge University Press
Total Pages: 496
Release: 2014-01-23
ISBN 10: 1107728851
ISBN 13: 9781107728851
Language: EN, FR, DE, ES & NL

Practical Seismic Data Analysis Book Review:

This modern introduction to seismic data processing in both exploration and global geophysics demonstrates practical applications through real data and tutorial examples. The underlying physics and mathematics of the various seismic analysis methods are presented, giving students an appreciation of their limitations and potential for creating models of the sub-surface. Designed for a one-semester course, this textbook discusses key techniques within the context of the world's ever increasing need for petroleum and mineral resources - equipping upper undergraduate and graduate students with the tools they need for a career in industry. Examples presented throughout the text allow students to compare different methods and can be demonstrated using the instructor's software of choice. Exercises at the end of sections enable students to check their understanding and put the theory into practice and are complemented by solutions for instructors and additional case study examples online to complete the learning package.

The Spectral Analysis of Time Series

The Spectral Analysis of Time Series
Author: L. H. Koopmans
Publsiher: Academic Press
Total Pages: 382
Release: 2014-05-12
ISBN 10: 1483218546
ISBN 13: 9781483218540
Language: EN, FR, DE, ES & NL

The Spectral Analysis of Time Series Book Review:

The Spectral Analysis of Time Series describes the techniques and theory of the frequency domain analysis of time series. The book discusses the physical processes and the basic features of models of time series. The central feature of all models is the existence of a spectrum by which the time series is decomposed into a linear combination of sines and cosines. The investigator can used Fourier decompositions or other kinds of spectrals in time series analysis. The text explains the Wiener theory of spectral analysis, the spectral representation for weakly stationary stochastic processes, and the real spectral representation. The book also discusses sampling, aliasing, discrete-time models, linear filters that have general properties with applications to continuous-time processes, and the applications of multivariate spectral models. The text describes finite parameter models, the distribution theory of spectral estimates with applications to statistical inference, as well as sampling properties of spectral estimates, experimental design, and spectral computations. The book is intended either as a textbook or for individual reading for one-semester or two-quarter course for students of time series analysis users. It is also suitable for mathematicians or professors of calculus, statistics, and advanced mathematics.