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Published online by Cambridge University Press: 01 February 2019
Extends previous chapters with consideration of unequal-interval data and use of periodogram approaches, Schuster and Lomb-Scargle periodograms. Periodograms as examples of least-squares spectral analysis (LSSA) and criteria for statistical significance (p-value). Development of statistical effect-size and significance ideas from periodograms and correlation-regression approaches and application to DFT/FFT power spectra coefficients. Variance spectrum and proportion of variance explained by DFT/FFT frequency components, statistical significance (p-value) of DFT/FFT frequency components.
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