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Global mean trend models.
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In our analysis, we used simple kriging (SK) with a refined smoothing filter [referred to as the composite space/time mean trend model (CSTM ] as described below.
The mean trend model is "separable" because each of the smoothed components relies on either a purely spatial or purely temporal metric.
One way to obtain the global mean trend m Y(p ) = m Y s,t) is to use the separable space/time mean trend model (SSTM) (Christakos et al. 2002).
Plots of the age-specific mortality rates were smoothed using 3-period moving averages, to help reduce the exaggerated effect that outlying points can have on mean trend analysis models when these points are very close to either end of the study period.
The mean trend for the 11-model case is slightly decreased from the single-model case; at some locations, large increases of the mean inundation profile are observed because of the inclusion of slip models with large slip off Miyagi Prefecture.
The training input for SSA-SVR and SSA-LSH-SVR models are the mean trend segments only, but for the proposed model, it is the synthesis of similar mean trend segments and the corresponding fluctuation component segments.
The SSA-SVR model extracts the mean trend of the wind speed or wind power and treats the remainder as noise.
Although the original data are non-stationary, we induce stationarity on a site-by-site basis using a non-parametric model to remove the mean trend.
Afterwards, the mean trend of the wind speed or wind power is input into the SVR model.
The observed APAP plasma PK profiles followed the mean trend of prediction nicely and >80% of observed data were within 90% confidence interval of PBPK model prediction.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com