Time Sequence Analysis In Geophysics PDF Download
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Author | : E. R. Kanasewich |
Publisher | : University of Alberta |
Total Pages | : 500 |
Release | : 1981 |
Genre | : Science |
ISBN | : 9780888640741 |
Download Time Sequence Analysis in Geophysics: Third Edition Book in PDF, ePub and Kindle
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.
Author | : Jean-Philippe Montillet |
Publisher | : Springer |
Total Pages | : 422 |
Release | : 2019-08-16 |
Genre | : Science |
ISBN | : 3030217183 |
Download Geodetic Time Series Analysis in Earth Sciences Book in PDF, ePub and Kindle
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.
Author | : Ernest Raymond Kanasewich |
Publisher | : |
Total Pages | : 352 |
Release | : 1973 |
Genre | : Geophysics |
ISBN | : |
Download Time Sequence Analysis in Geophysics [by] E.R. Kanasewich Book in PDF, ePub and Kindle
Author | : David Gubbins |
Publisher | : Cambridge University Press |
Total Pages | : 274 |
Release | : 2004-03-18 |
Genre | : Science |
ISBN | : 1316582930 |
Download Time Series Analysis and Inverse Theory for Geophysicists Book in PDF, ePub and Kindle
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
Author | : David Brillinger |
Publisher | : Springer Science & Business Media |
Total Pages | : 262 |
Release | : 2012-12-06 |
Genre | : Mathematics |
ISBN | : 1461229626 |
Download Time Series Analysis and Applications to Geophysical Systems Book in PDF, ePub and Kindle
Part of a two volume set based on a recent IMA program of the same name. The goal of the program and these books is to develop a community of statistical and other scientists kept up-to-date on developments in this quickly evolving and interdisciplinary field. Consequently, these books present recent material by distinguished researchers. Topics discussed in Part I include nonlinear and non- Gaussian models and processes (higher order moments and spectra, nonlinear systems, applications in astronomy, geophysics, engineering, and simulation) and the interaction of time series analysis and statistics (information model identification, categorical valued time series, nonparametric and semiparametric methods). Self-similar processes and long-range dependence (time series with long memory, fractals, 1/f noise, stable noise) and time series research common to engineers and economists (modeling of multivariate and possibly non-stationary time series, state space and adaptive methods) are discussed in Part II.
Author | : E. R. Kanasewich |
Publisher | : |
Total Pages | : 376 |
Release | : 1974 |
Genre | : Mathematics |
ISBN | : |
Download Time Sequence Analysis in Geophysics Book in PDF, ePub and Kindle
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.
Author | : David Brillinger |
Publisher | : Springer Science & Business Media |
Total Pages | : 262 |
Release | : 2012-12-06 |
Genre | : Mathematics |
ISBN | : 1468493868 |
Download Time Series Analysis and Applications to Geophysical Systems Book in PDF, ePub and Kindle
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.
Author | : Hans Gilgen |
Publisher | : Springer Science & Business Media |
Total Pages | : 734 |
Release | : 2006-01-16 |
Genre | : Science |
ISBN | : 3540309683 |
Download Univariate Time Series in Geosciences Book in PDF, ePub and Kindle
This is a detailed introduction to the statistical analysis of geophysical time series, using numerous examples and exercises to build proficiency. The exercises lead the reader to explore the meaning of concepts such as the estimation of the linear time series (AMRA) models or spectra. The book also serves as a guide to using the open-source "R" program for statistical analysis of time series.
Author | : Flavio Cannavo’ |
Publisher | : Frontiers Media SA |
Total Pages | : 172 |
Release | : 2021-05-12 |
Genre | : Science |
ISBN | : 2889667650 |
Download Advanced Time Series Analysis in Geosciences Book in PDF, ePub and Kindle
Author | : David Gubbins |
Publisher | : Cambridge University Press |
Total Pages | : 276 |
Release | : 2004-03-18 |
Genre | : Mathematics |
ISBN | : 9780521525695 |
Download Time Series Analysis and Inverse Theory for Geophysicists Book in PDF, ePub and Kindle
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