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 2000 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 and R subroutines throughout the book, while ample exercises acquaint readers with Fourier analysis and its applications. An invaluable reference for statisticians seeking to expand their understanding of frequency domain methods, Fourier Analysis of Time Series, Third Edition also provides easy access to sophisticated statistical tools and applications for scientists and professionals in such areas as diverse as engineering, atmospheric science, oceanography, climatology, biology, and business and finance.