Spectral Analysis for Univariate Time Series

Donald B. Percival,,

ISBN 10: 1107028140 / ISBN 13: 9781107028142

Editore: Cambridge University Press, 2020

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Riassunto:

Focuses on practical application of spectral analysis of time series, with examples from environmental, engineering and physical sciences.

Informazioni sugli autori: Donald B. Percival is the author of 75 publications in refereed journals on a variety of topics, including analysis of environmental time series, characterization of instability of atomic clocks and forecasting inundation of coastal communities due to trans-oceanic tsunamis. He is the co-author (with Andrew Walden) of Spectral Analysis for Physical Applications: Multitaper and Conventional Univariate Techniques (Cambridge, 1993) and Wavelet Methods for Time Series Analysis (Cambridge, 2000). He has taught graduate-level courses on time series analysis, spectral analysis and wavelets for over thirty years at the University of Washington.

Andrew T. Walden has authored 100 refereed papers in scientific areas including statistics, signal processing, geophysics, astrophysics and neuroscience, with an emphasis on spectral analysis and time series methodology. He worked in geophysical exploration research before joining Imperial College London. He is co-author (with Donald B. Percival) of Spectral Analysis for Physical Applications: Multitaper and Conventional Univariate Techniques (Cambridge,1993) and Wavelet Methods for Time Series Analysis (Cambridge, 2000). He has taught many courses including time series, spectral analysis, geophysical data analysis, applied probability and graphical modelling, primarily at Imperial College London, and also at the University of Washington.

Dati bibliografici

Titolo: Spectral Analysis for Univariate Time Series
Casa editrice: Cambridge University Press
Data di pubblicazione: 2020
Legatura: Rilegato
Condizione: Brand New
Edizione: seconda edizione