Sentence examples for modelling with maximum from inspiring English sources

Confirmatory factor analysis (CFA) based on the original IOCv2 [ 13] 8-factor solution (reflecting the 8 hypothesized positive and negative impact dimensions that form the core of the questionnaire) was performed using covariance-based structural equation modelling with maximum likelihood estimation.

Based on the quantitative data obtained through our consumer surveys, we tested our hypotheses using structural equation modeling with maximum likelihood estimation.

Structural equation modeling with maximum likelihood estimation of parameters was conducted.

Silver ion adsorption follow Langmuir model with maximum sorption capacity of 2113 mg g−1.

Equilibrium data followed Langmuir isotherm model with maximum adsorption capacity of 53.76 mg g−1.

Farooq et al. (2011) found that wheat straw followed Langmuir model with maximum biosorption capacity (q max) mg/g.

Dehling et al. [45] considered the model with maximum likelihood estimate, and proved strong consistency and asymptotic normality.

The roadside model with maximum score of recognition is selected to be the final estimation for the roadside.

Concentrations and time points for stimulation with IL-1β or PGE2 were determined by previous results in this model with maximum CGRP release at these values [8].

Finally, the recognition scores of all the hypotheses are collected, and the road model with maximum score is selected to be the final estimation for the roadside.

We compared response surface methodology (RS M and artificial neural network (ANN) modelling for their estimation and predictive capabilities in building effective models with maximum responses.