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Fourier Analysis of Time Series: An Introduction: 158 (Wiley Series in Probability and Statistics) - Tapa dura
Sinopsis
A new, revised edition of a yet unrivaled work on frequency domain analysis
Long recognized for his unique focus on frequency domain methods for the analysis of time series data as well as for his applied, easy-to-understand approach, Peter Bloomfield brings his well-known 1976 work thoroughly up to date. With a minimum of mathematics and an engaging, highly rewarding style, Bloomfield provides in-depth discussions of harmonic regression, harmonic analysis, complex demodulation, and spectrum analysis. All methods are clearly illustrated using examples of specific data sets, while ample exercises acquaint readers with Fourier analysis and its applications. The Second Edition:
* Devotes an entire chapter to complex demodulation
* Treats harmonic regression in two separate chapters
* Features a more succinct discussion of the fast Fourier transform
* Uses S-PLUS commands (replacing FORTRAN) to accommodate programming needs and graphic flexibility
* Includes Web addresses for all time series data used in the examples
An invaluable reference for statisticians seeking to expand their understanding of frequency domain methods, Fourier Analysis of Time Series, Second Edition also provides easy access to sophisticated statistical tools for scientists and professionals in such areas as atmospheric science, oceanography, climatology, and biology.
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Acerca del autor
PETER BLOOMFIELD, PhD, is a professor in the Department of Statistics at North Carolina State University, Raleigh.
De la contraportada
A new, revised edition of a yet unrivaled work on frequency domain analysis
Long recognized for his unique focus on frequency domain methods for the analysis of time series data as well as for his applied, easy-to-understand approach, Peter Bloomfield brings his well-known 1976 work thoroughly up to date. With a minimum of mathematics and an engaging, highly rewarding style, Bloomfield provides in-depth discussions of harmonic regression, harmonic analysis, complex demodulation, and spectrum analysis. All methods are clearly illustrated using examples of specific data sets, while ample exercises acquaint readers with Fourier analysis and its applications. The Second Edition:
* Devotes an entire chapter to complex demodulation
* Treats harmonic regression in two separate chapters
* Features a more succinct discussion of the fast Fourier transform
* Uses S-PLUS commands (replacing FORTRAN) to accommodate programming needs and graphic flexibility
* Includes Web addresses for all time series data used in the examples
An invaluable reference for statisticians seeking to expand their understanding of frequency domain methods, Fourier Analysis of Time Series, Second Edition also provides easy access to sophisticated statistical tools for scientists and professionals in such areas as atmospheric science, oceanography, climatology, and biology.
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Wiley Series in Probability and Statistics: Fourier Analysis of Time Series: An Introduction
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Wiley-Interscience, 2000
ISBN 10: 0471889482
ISBN 13: 9780471889489
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Wiley Series in Probability and Statistics: Fourier Analysis of Time Series: An Introduction
Publicado por
Wiley-Interscience, 2000
ISBN 10: 0471889482
ISBN 13: 9780471889489
Antiguo o usado
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Librería: Anybook.com, Lincoln, Reino Unido
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Condición: Fair. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In fair condition, suitable as a study copy. No dust jacket. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,650grams, ISBN:9780471889489. Nº de ref. del artículo: 5779782
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Fourier Analysis of Time Series: An Introduction
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ISBN 13: 9780471889489
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Fourier Analysis of Time Series: An Introduction
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ISBN 10: 0471889482
ISBN 13: 9780471889489
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