Share

Univariate Time Series in Geosciences

Download Univariate Time Series in Geosciences PDF Online Free

Author :
Release : 2006-01-16
Genre : Science
Kind : eBook
Book Rating : 683/5 ( reviews)

GET EBOOK


Book Synopsis Univariate Time Series in Geosciences by : Hans Gilgen

Download or read book Univariate Time Series in Geosciences written by Hans Gilgen. This book was released on 2006-01-16. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Geodetic Time Series Analysis in Earth Sciences

Download Geodetic Time Series Analysis in Earth Sciences PDF Online Free

Author :
Release : 2019-08-16
Genre : Science
Kind : eBook
Book Rating : 183/5 ( reviews)

GET EBOOK


Book Synopsis Geodetic Time Series Analysis in Earth Sciences by : Jean-Philippe Montillet

Download or read book Geodetic Time Series Analysis in Earth Sciences written by Jean-Philippe Montillet. This book was released on 2019-08-16. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Encyclopedia of Mathematical Geosciences

Download Encyclopedia of Mathematical Geosciences PDF Online Free

Author :
Release : 2023-07-13
Genre : Science
Kind : eBook
Book Rating : 404/5 ( reviews)

GET EBOOK


Book Synopsis Encyclopedia of Mathematical Geosciences by : B. S. Daya Sagar

Download or read book Encyclopedia of Mathematical Geosciences written by B. S. Daya Sagar. This book was released on 2023-07-13. Available in PDF, EPUB and Kindle. Book excerpt: The Encyclopedia of Mathematical Geosciences is a complete and authoritative reference work. It provides concise explanation on each term that is related to Mathematical Geosciences. Over 300 international scientists, each expert in their specialties, have written around 350 separate articles on different topics of mathematical geosciences including contributions on Artificial Intelligence, Big Data, Compositional Data Analysis, Geomathematics, Geostatistics, Geographical Information Science, Mathematical Morphology, Mathematical Petrology, Multifractals, Multiple Point Statistics, Spatial Data Science, Spatial Statistics, and Stochastic Process Modeling. Each topic incorporates cross-referencing to related articles, and also has its own reference list to lead the reader to essential articles within the published literature. The entries are arranged alphabetically, for easy access, and the subject and author indices are comprehensive and extensive.

Nonlinear Time Series Analysis in the Geosciences

Download Nonlinear Time Series Analysis in the Geosciences PDF Online Free

Author :
Release : 2008-08-03
Genre : Science
Kind : eBook
Book Rating : 383/5 ( reviews)

GET EBOOK


Book Synopsis Nonlinear Time Series Analysis in the Geosciences by : Reik V. Donner

Download or read book Nonlinear Time Series Analysis in the Geosciences written by Reik V. Donner. This book was released on 2008-08-03. Available in PDF, EPUB and Kindle. Book excerpt: 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 Modelling in Earth Sciences

Download Time Series Modelling in Earth Sciences PDF Online Free

Author :
Release : 2021-06-30
Genre : Technology & Engineering
Kind : eBook
Book Rating : 825/5 ( reviews)

GET EBOOK


Book Synopsis Time Series Modelling in Earth Sciences by : B.K. Sahu

Download or read book Time Series Modelling in Earth Sciences written by B.K. Sahu. This book was released on 2021-06-30. Available in PDF, EPUB and Kindle. Book excerpt: Including the latest theories and applications of time series modelling, this book is intended for students, faculties and professionals with a background in multivariate statistics. Highlighting linear methods to yield ARIMA, SARIMA models and their multivariate (vector) extensions, the text also draws attention to non-linear methods, as well as state-space, dynamic linear, wavelet, volatility and long memory models. Also included are several solved case studies and exercises from the fields of mining, ore genesis, earthquakes, and climatology.

You may also like...