Sentence examples for model parameters predicting from inspiring English sources

Estimates of model parameters predicting individual differences in the long-term rate of change in symptoms of social anxiety are presented in table 3 and illustrated in figures 4 and 5.

At the longest time and length scales, continuum engineering modeling approaches such as microkinetic modeling are used to calculate reaction rates, reactant conversion, and product yields and selectivities, using model parameters predicted by the other levels of the hierarchy.

Experiments using a calibration dye solution demonstrate that the WFMP-FLIM setup achieves the highest possible accuracy in the estimation of the model parameters predicted by the MLE theory [18].

A complete set of model parameters for predicting elastic behaviour, strength and post failure softening is presented for glass fibre non-crimped fabric reinforced vinylester.

Computer programs for fitting multistage models with one or two dose-related stages to cohort data incorporating time-dependent exposure patterns; constructing confidence regions for model parameters; and predicting lifetime risks of dying from cancer adjusting for competing causes of death are detailed.

In each repetition, the dataset was divided into 5 disjoint subsets of genotypes whereas one subset served as the validation set and the other four subsets served as the training population to estimate the model parameters for predicting the left-out genotypes in the validation set.

The study shows that, in many cases, soil N2O emission peaks that were not predicted with the default model parameters were predicted after calibration.

Alternative community population growth models can be examined by modifying model parameters for predicted growth, death, emigration, and immigration.

Based on the identified model parameters and predicted speed reference, the optimal control law of FOGPC is derived.

Practical guidelines were developed to select an appropriate model framework and to estimate site-specific model parameters to predict GAC adsorber performance.

This study provides a framework and required model parameters to predict temperature and optimum biomass loading for a specific geometry of MW cavity.