Time Series Analysis and Applications to Geophysical Systems

Part I

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

Part of the The IMA Volumes in Mathematics and its Applications book series (IMA, volume 45)

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, Jungeon 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


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.


STATISTICA geophysics modeling nonlinear system statistics

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
  • Copyright Information Springer-Verlag New York 2004
  • Publisher Name Springer, New York, NY
  • eBook Packages Springer Book Archive
  • Print ISBN 978-1-4612-7735-4
  • Online ISBN 978-1-4612-2962-9
  • Series Print ISSN 0940-6573
  • Buy this book on publisher's site