1988
DOI: 10.3758/bf03203903
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Waveform moment analysis: An ASYST program for topographical analyses of nonnegative bounded waveforms

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Cited by 3 publications
(2 citation statements)
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“…What is needed to compute such correlations is a single index of mood change frequency. Work is proceeding on methods of describing the frequency characteristics of temporally distributed variables, using such techniques as autoregressive parameter estimation as well as topographical analysis (Cacioppo & Dorfman, 1985). Nevertheless, the ANOVA findings reported suggest that spectral estimates of mood change frequency and within-subjects standard deviation estimates of mood change magnitude provide information that is somewhat independent.…”
Section: Resultsmentioning
confidence: 99%
“…What is needed to compute such correlations is a single index of mood change frequency. Work is proceeding on methods of describing the frequency characteristics of temporally distributed variables, using such techniques as autoregressive parameter estimation as well as topographical analysis (Cacioppo & Dorfman, 1985). Nevertheless, the ANOVA findings reported suggest that spectral estimates of mood change frequency and within-subjects standard deviation estimates of mood change magnitude provide information that is somewhat independent.…”
Section: Resultsmentioning
confidence: 99%
“…In fact, if we divide the power at each frequency by the total power, the power spectrum is thereby transformed to a probability density function. Hence, the moment-based indicants can be computed in the frequency domain without special attention or restrictive assumptions (Cacioppo & Dorfman, 1984). In accord with the points made earlier with regard to the time and amplitude domains, the moments of frequency uniquely and fully characterize the power spectrum.…”
Section: The Frequency Domainmentioning
confidence: 99%