Chapman and Hall/CRC
First of an eight-volume set, documenting Tukey's work from the 1940s to the 1980s
One of the late 20th Century's leading innovators and influences on data analysis, John W. Tukey's discoveries and methods have greatly impacted the work of statisticians throughout the world. The Collected Works of John W. Tukey begins here, with 14 chapters on time series analysis.
Measuring Noise Color [1949ul]. The Sampling Theory of Power Spectrum Estimates [1950k] (with added comments, 1957h). Book Review [1952a]. The Spectral Representation and Transformation Properties of the Higher Moments of Stationary Time Series [1953ul]. Power Spectral Methods of Analysis and Their Application to Problems in Airplane Dynamics [1956i]. Table of , Preface, and Glossary from The Measurement of Power Spectra From the Point of View of Communications Engineering [1959b]. The Estimation of (Power) Spectra and Related Quantities [1959c]. Equalization and Pulse Shaping Techniques Applied to Determination of Initial Sense of Rayleigh Waves [1959e]. An Introduction to the Measurement of Spectra [1959f]. Discussion, Emphasizing the Connection Between Analysis of Variance and Spectrum Analysis [1961a]. Curves as Parameters and Touch Estimation [1961b]. The Quefrency Analysis of Time Series for Echoes: Cepstrum, Pseudo-Autocovariance, Cross-Cepstrum, and Saphe-Cracking [1963a]. What Can Data Analysis and Statistics Offer Today? [1963e]. Mathematics 596: An Introduction to the Frequency Analysis of Time Series[1963ul].