Fourier Analysis of Time Series - (Wiley Probability and Statistics) 2nd Edition by Peter Bloomfield (Hardcover)
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<p/><br></br><p><b> Book Synopsis </b></p></br></br>Der Autor kombiniert hier Theorie und Anwendungen der Fourier-Analyse. Behandelt werden die Themenkomplexe harmonische Regression, harmonische Analyse, komplexe Demodulation und Spektrenanalyse. Die Kapitel enden in der Regel mit Übungsaufgaben - so kann sich der Leser leicht in den Stoff einarbeiten. Alle diskutierten Funktionen werden in Anhängen übersichtlich beschrieben. (05/00)<p/><br></br><p><b> From the Back Cover </b></p></br></br>A new, revised edition of a yet unrivaled work on frequency domain analysis <p/> 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: <br> * Devotes an entire chapter to complex demodulation<br> * Treats harmonic regression in two separate chapters<br> * Features a more succinct discussion of the fast Fourier transform<br> * Uses S-PLUS commands (replacing FORTRAN) to accommodate programming needs and graphic flexibility<br> * Includes Web addresses for all time series data used in the examples <p/> 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.<p/><br></br><p><b> Review Quotes </b></p></br></br><br>These two new books are both new editions of time series classics that will be welcomed by practitioners. (Technometrics, Vol. 42, No. 4, May 2001)<br> The first edition stood out as a model...this new edition holds up very successfully while incorporating a quarter century of change (Short Book Reviews, December 2000)<br> this is a very accessible book (The Statistician, Vol.50, No.4, 2001)<br><p/><br></br><p><b> About the Author </b></p></br></br>PETER BLOOMFIELD, PhD, is a professor in the Department of Statistics at North Carolina State University, Raleigh.
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