Moreover, a numerical approach with error estimation to solve general integro-differential-difference equations using Dickson polynomials has been developed in [12].
A sensitivity analysis has also been carried out for the proposed approach with perturbation errors in the rotor and bearing models, to confirm the robustness of the method.
The experimental results demonstrate the accuracy of the proposed approach, with average errors of 0.07 for both the degree of anisotropy and tensor norms.
Specifically this factor, focused on quality improvement as an indicator of positive safety culture, with higher scores indicating a greater emphasis towards taking a systems approach to dealing with errors, a desired outcome of many patient safety programmes.
The location of this event was simultaneously acquired using a stepwise refined grid search approach, with an error of ~2.2 km.
In place of this, we used a generalized estimating equation modified Poisson regression approach with robust error variance to produce direct assessments of the relative risks [27].
For dichotomous dependent variables, we used a modified Poisson regression approach with robust error variance (SAS PROC GENMOD) to assess relative risks (RRs) with 95% confidence intervals (CIs) (Zhou 2004).
Since data are from aggregated cell populations, the imaged protein data are very smooth and successive data points of the Q-PCR and in vitro time series come from different samples of cell populations, we choose to fit the model using the mean ODE approach with independent error.
These points influenced researchers to replace the trial-and-error approaches with model-based ones.
This could be alleviated by (i) replacing trial-and-error approaches with molecular/physiological target-based simple bioassays to screen test compounds at the early stages of development, and (ii) limiting large-scale synthesis for conventional evaluations of only biochemically/physiologically active compounds.
