The results obtained with these models, allow more accurate predictions for estimating the electric energy with a generator, over a month period, when its capacity is smaller than the building peak demand.
The CPP-MR has two advantages over the CIP-MR: (1) relatively simple two-current series-resistor (2CSR) and more general Valet Fert (VF) models allow more direct access to the underlying physics; and (2) it is usually larger, which should be advantageous for devices.
We therefore also considered Weibull models, allowing more individuals to be above or below the mean.
This is due to the fact that larger data sets allow more complex models, and more complex models allow more extreme estimates.
In addition, because H-EPESE data comprised repeated measures over 6 years, mixed models allowed more flexibility in modeling the effects of time on outcome.
A second evaluation was also carried out on just the admissions that met the inclusion criteria for all the models, allowing more direct comparison of the results.
Finally, because the H-EPESE study contains repeated measures over seven years, mixed models allow more flexibility in modeling the effects of time on outcomes (Liang and Zeger 1986; Zeger and Liang 1986).
Whereas past studies examining the association of diabetes with accelerated loss of muscle used only baseline glucose status (1, 2), we were able to update glucose status with HbA1c at successive visits using rigorous analytic methods (mixed-effects regression models), allowing more robust assessment of glycemic exposure.
Furthermore, the model allows more detailed information about the bubble dynamics to be predicted.
Regional modeling allows more precise forecasts to be made in both time and space for the cultural heritage buildings.
