Sentence examples for parameters confidence from inspiring English sources

Besides, it can reflect interrelationships among system benefits, preference parameters, confidence levels and the corresponding risk levels.

The activation energies for these alkylations obtained via non-isothermal regression are independent of the feedstock within the parameters confidence limits reflecting the fundamental character of the SEMK.

So the sample size was calculated using the following parameters: confidence interval (two-sided) 95%%; power 95%%; ratio of sample size 1; mean difference €300; standard deviation €400 for CM and €350 for EM (to take in account intra-group high variability).

However, we recommend users to manually manage parameters: confidence level, threshold value and cut-off value.

Therefore, established approaches aim to scan the entire parameter subspace which is in a sufficient agreement with the experimental data to propagate the parameters confidence regions into confidence intervals for the model predictions.

17 23 Regression parameters, confidence intervals around these point estimates and p values were estimated using the method of maximum likelihood in the AMFIT module of the EPICURE software.

We also investigate the MLE-based statistical inference including parameter confidence intervals and parameter significance test for both models.

Parameter confidence and cross correlation are discussed and finally the model is validated using experiments not used for parameter estimation.

Statistics including observation sensitivity, parameter correlation coefficient, parameter sensitivity, and parameter confidence limits were used to evaluate the information content of observations, resolution of model parameters, and overall model performance.

This paper aims at further studying the properties of X- and X′-optimal design criteria, which are based on the minimisation of the expected volumes of exact parameter confidence regions in nonlinear regression.

After introducing the model structures, their identifiability is assessed with a method based on approximate parameter confidence regions based on either the Fisher information matrix (FIM) or the Hessian matrix.