Time Series Analysis and Applications to Geophysical Systems

Time Series Analysis and Applications to Geophysical Systems edited by David Brillinger, Enders Anthony Robinson, Frederic Paik Schoenberg.

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...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Brillinger, David (Editor), Robinson, Enders Anthony (Editor), Schoenberg, Frederic Paik (Editor)
Format: eBook
Language:English
Published: New York, NY : Springer New York : Imprint: Springer, 2004.
Edition:1st ed. 2004.
Series:The IMA Volumes in Mathematics and its Applications, 139
Springer eBook Collection.
Subjects:
Probabilities.
Statistics .
Atmospheric sciences.
Earth sciences.
Geophysics.
Applied mathematics.
Engineering mathematics.
Electronic resources (E-books)
Online Access:Click to view e-book
Holy Cross Note:Loaded electronically.
Electronic access restricted to members of the Holy Cross Community.
Table of Contents:
  • 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: a comparative study
  • Modeling North Pacific climate time series
  • Assortment of Important Time Series Problems and Applications
  • Skew-elliptical time series with application to flooding risk
  • Hidden periodicities analysis and its application in geophysics
  • The innovation approach to the identification of nonlinear causal models in time series analysis
  • Non-Gaussian time series models
  • Modeling continuous time series driven by fractional Gaussian noise
  • List of workshop participants.

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