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Spectral analysis for univariate time series / Donald B. Percival, Andrew T. Walden.

By: Contributor(s): Series: Cambridge series on statistical and probabilistic mathematics ; 51Publisher: Cambridge ; New York, NY : Cambridge University Press, 2020Description: 1 volume : illustrations (black and white) ; 26 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 9781107028142
  • 1107028140
Subject(s): Additional physical formats: Online version:: Spectral analysis for univariate time series.DDC classification:
  • 519.5/5 23
LOC classification:
  • QA280 .P445 2020
Contents:
Introduction to spectral analysis -- Stationary stochastic processes -- Deterministic spectral analysis -- Foundations for stochastic spectral analysis -- Linear time-invariant filters -- Periodogram and other direct spectral estimators -- Lag window spectral estimators -- Combining direct spectral estimators -- Parametric spectral estimators -- Harmonic analysis -- Simulation of time series.
Summary: "This chapter provides a quick introduction to the subject of spectral analysis. Except for some later references to the exercises of Section 1.6, this material is independent of the rest of the book and can be skipped without loss of continuity. Our intent is to use some simple examples to motivate the key ideas. Since our purpose is to view the forest before we get lost in the trees, the particular analysis techniques we use here have been chosen for their simplicity rather than their appropriateness"-- Provided by publisher.
Holdings
Item type Current library Call number Copy number Status Date due Barcode Item holds
BOOK BOOK NCAR Library Mesa Lab QA280 .P445 2020 1 Available
Total holds: 0

Includes bibliographical references and indexes.

Introduction to spectral analysis -- Stationary stochastic processes -- Deterministic spectral analysis -- Foundations for stochastic spectral analysis -- Linear time-invariant filters -- Periodogram and other direct spectral estimators -- Lag window spectral estimators -- Combining direct spectral estimators -- Parametric spectral estimators -- Harmonic analysis -- Simulation of time series.

"This chapter provides a quick introduction to the subject of spectral analysis. Except for some later references to the exercises of Section 1.6, this material is independent of the rest of the book and can be skipped without loss of continuity. Our intent is to use some simple examples to motivate the key ideas. Since our purpose is to view the forest before we get lost in the trees, the particular analysis techniques we use here have been chosen for their simplicity rather than their appropriateness"-- Provided by publisher.

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