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Spectral Analysis for Univariate Time Series: 51 (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 51) - Tapa dura

Libro 39 de 46: Cambridge Series in Statistical and Probabilistic Mathematics

Walden, Andrew T.; Percival, Donald B.

 
9781107028142: Spectral Analysis for Univariate Time Series: 51 (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 51)
Tapa dura
ISBN 10: 1107028140 ISBN 13: 9781107028142
Editorial: Cambridge University Press, 2020

Sinopsis

Spectral analysis is widely used to interpret time series collected in diverse areas. This book covers the statistical theory behind spectral analysis and provides data analysts with the tools needed to transition theory into practice. Actual time series from oceanography, metrology, atmospheric science and other areas are used in running examples throughout, to allow clear comparison of how the various methods address questions of interest. All major nonparametric and parametric spectral analysis techniques are discussed, with emphasis on the multitaper method, both in its original formulation involving Slepian tapers and in a popular alternative using sinusoidal tapers. The authors take a unified approach to quantifying the bandwidth of different nonparametric spectral estimates. An extensive set of exercises allows readers to test their understanding of theory and practical analysis. The time series used as examples and R language code for recreating the analyses of the series are available from the book's website.

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Acerca de los autores

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.

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Editorial
Cambridge University Press
Año de publicación
2020
Idioma
Inglés
ISBN 10 
1107028140
ISBN 13 
9781107028142
Encuadernación
Tapa dura
Número de edición
2
Número de páginas
716
Contacto del fabricante
no disponible
Persona responsable
gpsr@libri.de
gpsr@libri.de

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