Exact(19)
Classical examples are time series representing rates and proportions observed over time.
The results of the simulator are time series of 'measured' accelerations and their corresponding error power spectral densities.
Also shown are time series of (b) SST and (c) SST anomalies averaged over the SEAus region since 2012 from NOAA OI SST (black lines) and HadISST (circles).
Because neural spike trains are time series of action potentials, point process theory has been shown to provide an accurate framework for modeling the stochastic structure of single and multiple neural spike trains.
(1 where are time series for each station, ista.
Blue and red circles are time series in north and east components, respectively.
Similar(41)
One of these applications is time series forecasting.
Wind data over time is time series data.
Because the data were time series, outlier detection was conducted within each participant and trial, across time points; we found no statistically significant outliers (Tabachnick & Fidell, 2007).
The remainder were "time series" variables such as vital signs and laboratory test results and were recorded multiple times throughout the 48 hour period.
The feature of EMD is time series smoothing processing; that is, the different scales of fluctuations or trends of the upcoming complex signals are decomposed gradually.
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