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Time Series Analysis and Applications to Geophysical Systems by David Brillinger Hardcover | Indigo Chapters
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Time Series Analysis and Applications to Geophysical Systems by David Brillinger Hardcover | Indigo Chapters - new book

2002, ISBN: 9780387223117

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.… More...

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Time Series Analysis and Applications to Geophysical Systems
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Time Series Analysis and Applications to Geophysical Systems - new book

2002, ISBN: 9780387223117

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.… More...

Nr. 978-0-387-22311-7. Shipping costs:Worldwide free shipping, , DE. (EUR 0.00)
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Time Series Analysis and Applications to Geophysical Systems - Brillinger, David, Enders Anthony Robinson  und Frederic Paik Schoenberg
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Brillinger, David, Enders Anthony Robinson und Frederic Paik Schoenberg:
Time Series Analysis and Applications to Geophysical Systems - used book

2004

ISBN: 9780387223117

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Time Series Analysis and Applications to Geophysical Systems  2004 - Brillinger, David, Enders Anthony Robinson  und Frederic Paik Schoenberg
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Brillinger, David, Enders Anthony Robinson und Frederic Paik Schoenberg:
Time Series Analysis and Applications to Geophysical Systems 2004 - used book

2004, ISBN: 9780387223117

2004 Gepflegter, sauberer Zustand. Außen: verschmutzt. 1693673/2 Versandkostenfreie Lieferung innovation,temperature,STATISTICA,digital elevation model,Time series,geophysics,Gaussian noi… More...

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Time Series Analysis and Applications to Geophysical Systems - Brillinger, David, Enders Anthony Robinson  und Frederic Paik Schoenberg
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Time Series Analysis and Applications to Geophysical Systems - used book

2004, ISBN: 9780387223117

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Time Series Analysis and Applications to Geophysical Systems by David Brillinger Hardcover | Indigo Chapters

Time series methods are essential tools in the analysis of many geophysical systems. This volume, which consists of papers presented by a select, international group of statistical and geophysical experts at a 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 as part of the IMA's Thematic Year on Mathematics in the Geosciences, explores the application of recent advances in time series methodology to a host of important problems ranging from climate change to seismology. The works in the volume deal with theoretical and methodological issues as well as real geophysical applications, and are written with both statistical and geophysical audiences in mind. Important contributions to time series modeling, estimation, prediction, and deconvolution are presented. The results are applied to a wide range of geophysical applications including the investigation and prediction of climatic variations, the interpretation of seismic signals, the estimation of flooding risk, the description of permeability in Chinese oil fields, and the modeling of NOx decomposition from thermal power plants.

Details of the book - Time Series Analysis and Applications to Geophysical Systems by David Brillinger Hardcover | Indigo Chapters


EAN (ISBN-13): 9780387223117
ISBN (ISBN-10): 0387223118
Hardcover
Publishing year: 2004
Publisher: David Brillinger
258 Pages
Weight: 0,543 kg
Language: eng/Englisch

Book in our database since 2007-05-20T08:37:14-04:00 (New York)
Detail page last modified on 2023-11-26T11:59:25-05:00 (New York)
ISBN/EAN: 0387223118

ISBN - alternate spelling:
0-387-22311-8, 978-0-387-22311-7
Alternate spelling and related search-keywords:
Book author: frédéric, david robinson, schönberg, enders, schnberg, brilling, paik schoenberg, brill, brilli, david anthony, ende, david fred, frederic, arnold david, robert arnold, robinson douglas, shumway, anthony berkeley, dur, davis david, eric robinson, ing arnold
Book title: time series analysis applications geophysical systems, time series analysis with applications, time brief, mathematics


Information from Publisher

Author: David Brillinger; Enders Anthony Robinson; Frederic Paik Schoenberg
Title: The IMA Volumes in Mathematics and its Applications; Time Series Analysis and Applications to Geophysical Systems
Publisher: Springer; Springer US
260 Pages
Publishing year: 2004-09-17
New York; NY; US
Weight: 1,250 kg
Language: English
160,49 € (DE)
164,99 € (AT)
177,00 CHF (CH)
POD
XII, 260 p.

BB; Probability Theory and Stochastic Processes; Hardcover, Softcover / Mathematik/Wahrscheinlichkeitstheorie, Stochastik, Mathematische Statistik; Wahrscheinlichkeitsrechnung und Statistik; Verstehen; Gaussian noise; STATISTICA; Time series; digital elevation model; geophysics; innovation; temperature; Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences; Atmospheric Sciences; Earth Sciences, general; Geophysics/Geodesy; Applications of Mathematics; Probability Theory; Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences; Atmospheric Science; Earth Sciences; Geophysics; Applications of Mathematics; Stochastik; Meteorologie und Klimatologie (Klimaforschung); Geowissenschaften; Geophysik; Angewandte Mathematik; BC; EA

Interpretation of Seismic Signals.-Nonparametric deconvolution of seismic depth phases.- State space approach to signal extraction problems in seismology.- Improved signal transmission through randomization.- Online analysis of seismic signals.- Temperature Data.- Nonstationary time series analysis of monthly global temperature anomalies.- A test for detecting changes in mean.- Spatio-temporal modelling of temperature time series.- Modeling North Pacific climate time series.- Assortment of Important Time Series Problems and Applications.- Skew-elliptical time series with application to flood risk.- Hidden periodicities anaysis and its application in geophysics.- The innovation approach to the identification of nonlinear causal models in time series analysis.- Non-Gaussian time series driven by fractional Gaussian noise.- List of workshop participants.

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