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All components of the time derivative of the magnetic field (Fig. 1, right-hand-side plots) increase from subauroral latitudes to the auroral region.
The red line is the sum of the benchmark, transient, and Heaviside components of the time series as estimated by the NSF.
Finally, stochastic components of the time series were determined by the use of Autoregressive (AR) and Autoregressive Moving Average (ARMA) models.
Time-series remote sensing data can be regarding as combinations of temporal endmembers in a temporal feature space where the dimensions represent different components of the time domain processes [31].
The model takes advantage of sample information from preceding time periods through an appropriate time series model and from other domains by modelling the correlation between the trend components of the time series models for the different domains.
In order to forecast the time series for longer time step (365 days-one window length), the signal and noise components of the time series are forecasted separately and then added together.
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From the vorticity formulation, both components of the time-dependent velocity vector are derived in a manner to satisfy continuity and momentum conservation.
The three-dimensional components of the time-averaged force are expressed in terms of the beam-shape coefficients of the incident field and the scattering coefficients of the fluid sphere using a partial-wave expansion (PWE) method.
The components of the time-hazard curve were determined using pharmaco-kinetic methods.
Vertical and horizontal polarization components of the time-resolved emission intensity were fitted by the model described elsewhere (32).
They indicate that, as might be expected from a shift in the latency of an evoked response, PC2 correlates with the phase of low-frequency components of the time-frequency decomposition.
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