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Time Series Analysis in Seismology

Time Series Analysis in Seismology Book
Author : Alejandro Ramírez-Rojas,Elsa Leticia Florez-Márquez,Leonardo Di G Sigalotti,Ricardo T. Paez Hernandez,Otto Rendón
Publisher : Elsevier
Release : 2019-06-15
ISBN : 9780128149010
Language : En, Es, Fr & De

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Book Description :

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. The book 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

Time Series Analysis in Seismology

Time Series Analysis in Seismology Book
Author : Alejandro Ramírez-Rojas,Leonardo Di G. Sigalotti,Elsa Leticia Flores Márquez,Otto Rendón
Publisher : Elsevier
Release : 2019-08-02
ISBN : 0128149027
Language : En, Es, Fr & De

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Book Description :

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

Time Series Analysis and Applications to Geophysical Systems

Time Series Analysis and Applications to Geophysical Systems Book
Author : David Brillinger,Enders Anthony Robinson,Frederic Paik Schoenberg
Publisher : Springer Science & Business Media
Release : 2012-12-06
ISBN : 1468493868
Language : En, Es, Fr & De

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Book Description :

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.

Complexity of Seismic Time Series

Complexity of Seismic Time Series Book
Author : Tamaz Chelidze,Filippos Vallianatos,Luciano Telesca
Publisher : Elsevier
Release : 2018-05-21
ISBN : 012813139X
Language : En, Es, Fr & De

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Book Description :

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 Modeling of Neuroscience Data

Time Series Modeling of Neuroscience Data Book
Author : Tohru Ozaki
Publisher : CRC Press
Release : 2012-01-26
ISBN : 1420094610
Language : En, Es, Fr & De

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Book Description :

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.

Applied Time Series Analysis

Applied Time Series Analysis Book
Author : David F. Findley
Publisher : Academic Press
Release : 2014-05-10
ISBN : 1483263940
Language : En, Es, Fr & De

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Book Description :

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.

The Practice of Time Series Analysis

The Practice of Time Series Analysis Book
Author : Hirotugu Akaike,Genshiro Kitagawa
Publisher : Springer Science & Business Media
Release : 2012-12-06
ISBN : 1461221625
Language : En, Es, Fr & De

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Book Description :

A collection of applied papers on time series, appearing here for the first time in English. The applications are primarily found in engineering and the physical sciences.

Discrimination in Time Series Analysis with Applications in Seismology

Discrimination in Time Series Analysis with Applications in Seismology Book
Author : G. Dargahi-Noubary,Mathematics
Publisher : Unknown
Release : 1978
ISBN : 0987650XXX
Language : En, Es, Fr & De

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Book Description :

Download Discrimination in Time Series Analysis with Applications in Seismology book written by G. Dargahi-Noubary,Mathematics, available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. Compatible with any devices.

Advanced Time Series Analysis in Geosciences

Advanced Time Series Analysis in Geosciences Book
Author : Flavio Cannavo’,Andrea Cannata,Reik Donner,Mikhail Kanevski
Publisher : Frontiers Media SA
Release : 2021-05-12
ISBN : 2889667650
Language : En, Es, Fr & De

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Book Description :

Download Advanced Time Series Analysis in Geosciences book written by Flavio Cannavo’,Andrea Cannata,Reik Donner,Mikhail Kanevski, available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. Compatible with any devices.

Time Series Analysis and Inverse Theory for Geophysicists

Time Series Analysis and Inverse Theory for Geophysicists Book
Author : David Gubbins
Publisher : Cambridge University Press
Release : 2004-03-18
ISBN : 9780521525695
Language : En, Es, Fr & De

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Book Description :

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

Applied Time Series Analysis II

Applied Time Series Analysis II Book
Author : David F. Findley
Publisher : Academic Press
Release : 2014-05-10
ISBN : 1483263908
Language : En, Es, Fr & De

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Book Description :

Applied Time Series Analysis II contains the proceedings of the Second Applied Time Series Symposium Held in Tulsa, Oklahoma, on March 3-5, 1980. The symposium provided a forum for discussing significant advances in time series analysis and signal processing. Effective alternatives to the familiar least-square and maximum likelihood procedures are described, along with maximum likelihood procedures for modeling irregularly sampled series and for classifying non-stationary series. Comprised of 22 chapters, this volume begins with an introduction to the multidimensional filtering theory and presents specific case histories related to the multidimensional recursive filter stability problem; the least squares inverse problem; realization of filters; and spectral estimation. The unique properties of the three-dimensional wave equation are also considered. Subsequent chapters focus on high-resolution spectral estimators; time series analysis of geophysical inverse scattering problems; minimum entropy deconvolution; and fitting of a continuous time autoregression to discrete data. This monograph will appeal to students and practitioners in the fields of mathematics and statistics, electrical and electronics engineering, and information and computer sciences.

Three Dimensional Space Time Analysis Theory of Geotechnical Seismic Engineering

Three Dimensional Space Time Analysis Theory of Geotechnical Seismic Engineering Book
Author : Changwei Yang,Guotao Yang,Jianjing Zhang,Hongsheng Ma
Publisher : Springer Nature
Release : 2019-11-30
ISBN : 9811333564
Language : En, Es, Fr & De

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Book Description :

Written by respected experts, this book presents essential findings on the Wenchuan earthquake. It establishes a series of time–frequency analysis methods, and subsequently applies them to the layered site, slope, and earth-retaining wall. Further, it examines various cases and their solutions, and shares the results of numerous shaking-table tests and numerical simulations. As such, it is a valuable resource for researchers and engineers in the fields of geotechnical engineering and anti-seismic engineering.

Statistical Evaluation and Time Series Analysis of Microseismicity Mining and Rock Bursts in a Hard rock Mine

Statistical Evaluation and Time Series Analysis of Microseismicity  Mining  and Rock Bursts in a Hard rock Mine Book
Author : Jennifer S. Riefenberg,United States. Bureau of Mines
Publisher : Unknown
Release : 1991
ISBN : 0987650XXX
Language : En, Es, Fr & De

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Book Description :

Download Statistical Evaluation and Time Series Analysis of Microseismicity Mining and Rock Bursts in a Hard rock Mine book written by Jennifer S. Riefenberg,United States. Bureau of Mines, available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. Compatible with any devices.

Government wide Index to Federal Research Development Reports

Government wide Index to Federal Research   Development Reports Book
Author : Anonim
Publisher : Unknown
Release : 1967-11
ISBN : 0987650XXX
Language : En, Es, Fr & De

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Book Description :

Download Government wide Index to Federal Research Development Reports book written by , available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. Compatible with any devices.

Natural Time Analysis The New View of Time

Natural Time Analysis  The New View of Time Book
Author : Panayiotis Varotsos,Nicholas V. Sarlis,Efthimios S. Skordas
Publisher : Springer Science & Business Media
Release : 2011-08-14
ISBN : 3642164498
Language : En, Es, Fr & De

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Book Description :

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.

Geodetic Time Series Analysis in Earth Sciences

Geodetic Time Series Analysis in Earth Sciences Book
Author : Jean-Philippe Montillet,Machiel S. Bos
Publisher : Springer
Release : 2019-08-16
ISBN : 3030217183
Language : En, Es, Fr & De

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Book Description :

This book provides an essential appraisal of the recent advances in technologies, mathematical models and computational software used by those working with geodetic data. It explains the latest methods in processing and analyzing geodetic time series data from various space missions (i.e. GNSS, GRACE) and other technologies (i.e. tide gauges), using the most recent mathematical models. The book provides practical examples of how to apply these models to estimate seal level rise as well as rapid and evolving land motion changes due to gravity (ice sheet loss) and earthquakes respectively. It also provides a necessary overview of geodetic software and where to obtain them.

Practical Seismic Data Analysis

Practical Seismic Data Analysis Book
Author : Hua-Wei Zhou
Publisher : Cambridge University Press
Release : 2014-01-23
ISBN : 1107728851
Language : En, Es, Fr & De

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Book Description :

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.

Nonlinear Time Series Analysis in the Geosciences

Nonlinear Time Series Analysis in the Geosciences Book
Author : Reik V. Donner,Susana M. Barbosa
Publisher : Springer
Release : 2008-08-03
ISBN : 3540789383
Language : En, Es, Fr & De

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Book Description :

The enormous progress over the last decades in our understanding of the mechanisms behind the complex system “Earth” is to a large extent based on the availability of enlarged data sets and sophisticated methods for their analysis. Univariate as well as multivariate time series are a particular class of such data which are of special importance for studying the dynamical p- cesses in complex systems. Time series analysis theory and applications in geo- and astrophysics have always been mutually stimulating, starting with classical (linear) problems like the proper estimation of power spectra, which hasbeenputforwardbyUdnyYule(studyingthefeaturesofsunspotactivity) and, later, by John Tukey. In the second half of the 20th century, more and more evidence has been accumulated that most processes in nature are intrinsically non-linear and thus cannot be su?ciently studied by linear statistical methods. With mat- matical developments in the ?elds of dynamic system’s theory, exempli?ed by Edward Lorenz’s pioneering work, and fractal theory, starting with the early fractal concepts inferred by Harold Edwin Hurst from the analysis of geoph- ical time series,nonlinear methods became available for time seriesanalysis as well. Over the last decades, these methods have attracted an increasing int- est in various branches of the earth sciences. The world’s leading associations of geoscientists, the American Geophysical Union (AGU) and the European Geosciences Union (EGU) have reacted to these trends with the formation of special nonlinear focus groups and topical sections, which are actively present at the corresponding annual assemblies.

Time Series Analysis of Irregularly Observed Data

Time Series Analysis of Irregularly Observed Data Book
Author : E. Parzen
Publisher : Springer Science & Business Media
Release : 2012-12-06
ISBN : 1468494031
Language : En, Es, Fr & De

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Book Description :

With the support of the Office of Naval Research Program on Statistics and Probability (Dr. Edward J. Wegman, Director), The Department of Statistics at Texas A&M University hosted a Symposium on Time Series Analysis of Irregularly Observed Data during the period February 10-13, 1983. The symposium aimed to provide a review of the state of the art, define outstanding problems for research by theoreticians, transmit to practitioners recently developed algorithms, and stimulate interaction between statisticians and researchers in subject matter fields. Attendance was limited to actively involved researchers. This volume contains refereed versions of the papers presented at the Symposium. We would like to express our appreciation to the many colleagues and staff members whose cheerful help made the Symposium a successful happening which was enjoyed socially and intellectually by all participants. I would like to especially thank Dr. Donald W. Marquardt whose interest led me to undertake to organize this Symposium. This volume is dedicated to the world wide community of researchers who develop and apply methods of statistical analysis of time series. r:;) \J Picture Caption Participants in Symposium on Time Series Analysis of Irregularly Observed Data at Texas A&M University, College Station, Texas, February 10-13, 1983 First Row: Henry L. Gray, D. W. Marquardt, P. M. Robinson, Emanuel Parzen, Julia Abrahams, E. Masry, H. L. Weinert, R. H. Shumway.

Developments in Time Series Analysis

Developments in Time Series Analysis Book
Author : T. Subba Rao
Publisher : CRC Press
Release : 1993-07-01
ISBN : 9780412492600
Language : En, Es, Fr & De

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Book Description :

This volume contains 27 papers, written by time series analysts, dealing with statistical theory, methodology and applications. The emphasis is on the recent developments in the analysis of linear, onlinear (non-Gaussian), stationary and nonstationary time series. The topics include cointegration, estimation and asymptotic theory, Kalman filtering, nonparametric statistical inference, long memory models, nonlinear models, spectral analysis of stationary and nonstationary processes. Quite a number of papers are devoted to modelling and analysis of real time series, and the econometricians, mathematical statisticians, communications engineers and scientists who use time series techniques and Fourier analysis should find the papers in this volume useful.