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Time Series Analysis and Applications to Geophysical Systems

  • David R. Brillinger
  • Enders Anthony Robinson
  • Frederic Paik Schoenberg

Part of the The IMA Volumes in Mathematics and its Applications book series (IMA, volume 139)

Table of contents

  1. Front Matter
    Pages i-xii
  2. Interpretation of Seismic Signals

    1. Robert H. Shumway, Jessie L. Bonner, Delaine T. Reiter
      Pages 1-10
    2. Genshiro Kitagawa, Tetsuo Takanami, Norio Matsumoto
      Pages 11-39
    3. Hernando Ombao, Jungeun Heo, David Stoffer
      Pages 53-71
  3. Temperature Data

    1. Wei Biao Wu
      Pages 105-121
    2. T. Subba Rao, Ana Monica Costa Antunes
      Pages 123-150
    3. Donald B. Percival, James E. Overland, Harold O. Mofjeld
      Pages 151-167
  4. Assortment of Important Time Series Problems and Applications

    1. Marc G. Genton, Keith R. Thompson
      Pages 169-185
    2. Murray Rosenblatt
      Pages 227-237
    3. Winston C. Chow, Edward J. Wegman
      Pages 239-255
  5. Back Matter
    Pages 257-260

About these proceedings

Introduction

 

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.

Keywords

Gaussian noise STATISTICA Time series digital elevation model geophysics innovation temperature

Editors and affiliations

  • David R. Brillinger
    • 1
  • Enders Anthony Robinson
    • 2
  • Frederic Paik Schoenberg
    • 3
  1. 1.Department of StatisticsUniversity of California, BerkeleyBerkeleyUSA
  2. 2.Department of Earth and Environmental Engineering Henry Krumb School of MinesColumbia UniversityNew YorkUSA
  3. 3.Department of StatisticsUniversity of California, Los AngelesLos AngelesUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4684-9386-3
  • Copyright Information Springer-Verlag New York 2004
  • Publisher Name Springer, New York, NY
  • eBook Packages Springer Book Archive
  • Print ISBN 978-1-4419-1971-7
  • Online ISBN 978-1-4684-9386-3
  • Series Print ISSN 0940-6573
  • Buy this book on publisher's site
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