Fourier Analysis of Time Series: An Introduction

Bloomfield, Peter

ISBN 10: 0471082562 / ISBN 13: 9780471082569

Published by John Wiley & Sons, New York, 1976

About this Item

258 pages. This is an ex-library book with the usual markings. Text is otherwise clean. ; Ex-library; 6 3/8 x 9 1/4".

Seller Inventory # 94821

Bibliographic Details

• Title: Fourier Analysis of Time Series: An Introduction
• Publisher: John Wiley & Sons, New York
• Publication Date: 1976
• Language: English
• ISBN 10: 0471082562
• ISBN 13: 9780471082569
• Binding: Hardcover
• Condition: Very Good+ with no dust jacket

About this title

Synopsis

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.

About the Author

PETER BLOOMFIELD, PhD, is a professor in the Department of Statistics at North Carolina State University, Raleigh.