Sentence examples for model was robustly from inspiring English sources

First, we randomly divided our original population into two groups, a "training set" and a "test set" and showed that the model was robustly replicated in both subsets without loss of power or sensitivity (Table 4).

Indeed, when it was not included, the topology suggested by the "CAT" model was robustly recovered.

A novel method is proposed to ensure that the obtained closed-loop model is robustly stochastically stable and satisfies the desired detection and control performances.

Therefore, as a consequence of imposing the FF-approximation, constraining the flow to get a convergent spectrum directly affects the SV as long as the static part of the core field model is robustly estimated.

The stochastic change model is robustly scalar.

The advantage of the proposed approach is that, all uncertaities and neglected dynamics are summarized in one frequency-dependent scalar function and satisfying a simple condition which involves this function guarantees that the overall closed-loop system under decoutralized controllers, which are designed considering local models, is robustly stable.

The advantage of the proposed approach is that, all uncertainties and neglected dynamics are summarized in one frequency-dependent scalar function and satisfying a simple condition guarantees that the overall closed-loop system under decentralized controllers, which are designed considering local models, is robustly stable.

To control for nonnormality, final regression models were robustly assessed using bootstrapped sampling in Stata 9. To test the second prediction from the S-REF model, the data were fitted to the hypothesized model (see Figure 1) using structural equation modeling (SEM) in Mplus Version 6.12 (L. K. Muthén & Muthén, 1998 2010).

Sensitivity analyses were conducted adding back non-significant variables, but typically the final model variables were robustly supported (with exceptions specified).

Our prediction model has been robustly validated across multiple centers, a larger sample size, and a wider geographic area, and uses variables that are potentially available soon after arrival in the emergency department.

In a first stage the control was robustly designed and tuned with a complex and validated model of the blood gas process.