In this paper multifractal detrended fluctuation analysis (MFDFA) is used to study the human gait time series for normal and diseased sets. It is observed that long range correlation is primarily responsible for the origin of multifractality. The study reveals that the degree of multifractality is more for normal set compared to diseased set. However, the method fails to distinguish between the two diseased sets.
Radon anomaly acts as a precursor to seismic events. Hence the fluctuation pattern of time series of radon bears a lot of significance. Multifractal detrended fluctuation analysis (MFDFA) has been applied successfully in past to various geo-electrical signals. The time series of earthquake related radon signal of duration three years (
The time series for gold price has been investigated in past and it was observed that the time series has multifractal properties. The gold price data from 1973 to the present time has been divided into sets of five years each and the variation of degree of multifractality with time is investigated. An attempt has been made to physically interpret the results and to make future predictions of variation in price.
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