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OF CARDIOVASCULAR DATA |
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Measure characterising the divergence of time series defined as the range of the sum of the deviations of data from the mean divided by the sample standard deviation
Both range R and standard deviation S measure the divergence of the time-series, but the first is a measure of dispersion based on a sum of the data, the second is a measure based on the squared data. For some processes (like white Gaussian noise, which has no persistence) the two measures of dispersion are similar and R/S is asymptotically constant with T, duration of the data sample. For other processes (like Brownian motion) R/S is proportional to a power of T: