Sentence examples for fitting changes in the from inspiring English sources

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For this purpose and from a computational point of view, the proposed hierarchical structure is particularly suitable, since the dimension of the problem became greater than when fitting changes in the mean.

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In the first stage, standard tests and regression models such as ANOVA and generalized linear models [ 27] will be employed for fitting changes in each observed variable as a function of relevant predictors.

Results of fitting show that the changes in the line profile are best described by one moving gaussian which fits most of the emission.

Advances in prosthetic fittings have led to changes in the overall concept of socket design, which seeks to achieve three objectives: to maximise the weight-bearing surface area, to eliminate friction of the skin on the socket, and to eliminate lever-arm effects.

Although these J-V curves perfectly fit with the model of a simple diode both in the dark and under illumination, subtle changes in the fitting parameters occur when moving from one situation to another.

The good fitting between theoretical and experimental changes in the comonomer mixture compositions as a function of reaction progress was observed, indicating the accuracy of the monomer reactivity ratios calculated by the new procedure presented here.

It's a question that seems fitting in light of the huge changes in the sector over the past year, with universities seeing a 8.4% fall in student applications, the unrestricted ABB+ recruitment plan, and the announcement of the Research Excellence Framework (REF) – to name a few.

Further sensitivity analysis using pre-immunity in the range of 10%-30 10%-30hown that the results of curve-fittings are not sensitive to small changes in the pre-epidemic immunity.

The fitting function also does not account for changes in the geometry of the cloud, which are expected once the collapse stalls and a disk forms.

At Autzen Stadium on Saturday, a stunning medley of reds, oranges and yellows provided a fitting backdrop for change in the landscape of college football.

To evaluate whether the addition of random effects for these two parameters resulted in a better fitting model, the change in the deviance statistics relative to the baseline model was used.

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