Sentence examples for time series terms from inspiring English sources

For parsimony, we excluded non-significant (P≥0.20) time series terms in a stepwise fashion; exclusion of the non-significant terms did not change the coefficients on the remaining terms.

In this paper, we investigate these effects on coordinate time series in terms of seasonal variations and noise amplitudes.

A relation is presented between the drift and diffusion coefficients of the FP equation and the Hurst exponent that has previously been used to describe the pressure fluctuation time series in terms of self-affine stochastic distributions.

The effect of temperature and pressure on the liquid holdup and pressure drop time series in terms of pulse breakthrough and decay times, pulse intensity and pulse velocity was examined for a wide range of superficial gas and liquid (base and pulse) velocities for the air water system.

The accuracy of these synthetic time series in terms of the frequency of the most extreme magnitude events is difficult to test using this methodology alone.

Univariate autoregressive models describe a single time series in terms of linear combinations of lags of the time-series.

This produces a profile of the time series in terms of the rate of growth in fluctuation of variance as a function of increasing time-scale.

In this step, we made a regression for head motion to account for motion artefacts, used a high-pass filter of 1/128 Hz to remove low-frequency noise, and then segmented and concatenated the time series in terms of the lie and truth conditions individually.

After processing these time series, long-term utilization ratios can be determined with relatively low computational cost.

Then, we develop forecasting model combining the modified fuzzy c-means and information granulation for solving the problem of time series long-term prediction.

Fig. 3 Raw (blue dots) and fitted (red line) position time series (long-term rates and seasonal signals were removed) at several representative stations in the postseismic phase Fig. 4 GPS coseismic and postseismic deformation fields of the Kaikoura earthquake.