Sentence examples for model with differing from inspiring English sources
Education at secondary or higher level is only marginally significant in the baseline model, with differing significance levels in the presence of the different level-2 variables.
This was expressed and refolded from E. coli and tested on a variety of cell lines and tumours (in a BALB/c nude xenograft model) with differing p21 or p53 status.
The three sets of histograms in Figure 1G each represent collected estimates generated using three different versions of the model with differing assumptions about the power-law scaling of the processes and the number of snapshots.
They were armed with twelve 12 inches guns, but they were of two different models with differing barrel lengths, meaning that they would have had difficulty controlling their fire at long ranges.
The differences between models with differing numbers of clusters were exposed by the LRT statistics, where a low p-value (<0.05) indicated that the qualified model fits the used data better than the model with one less cluster.
The difference in scale for models with differing sets of predictors is due to the variance of the residual error term being fixed.
In simulated data, models with differing numbers of classification states produced similar overall results.
Finally, the selection of models was designed to include models with differing levels of sensitivity to greenhouse gas forcing.
To better understand the utility of state space models in evaluating population dynamics, we used them in a Bayesian framework and compared the accuracy of models with differing complexity, with and without informative priors using sequential importance sampling/resampling (SISR).
To this end, the methodology makes use of the attainable region and driving force concepts as well as employs several process models with differing level of complexity (simple, steady-state, dynamic).
Comparison of models with differing random effects was done using a restricted maximum likelihood approach, while a maximum likelihood approach was used for comparing models with differing fixed effects [17].
