Sentence examples for fit complexity from inspiring English sources

They will articulate pains in terms of size, weight, form fit, complexity and durability.

Quadratic and power fits were both significant, however the power function provided a better fit with a P-value of 0.004 despite increased fit complexity and reduced degrees of freedom (R2 = 0.9919).

The RTI-MM also incorporated strategies to address characteristics of the innovation such as trialability and observability, and to influence perceptions such as relative advantage, compatibility, or cultural fit, complexity, and risk [ 14] which have been linked to diffusion [ 22] and active dissemination.

The biggest challenges often involve developing engineering devices that can fit the complexity of the human body.

It was found that external determinants such as user training, user fit, technological complexity and trainers' support were important indicators in the success of adopting these solutions.

To meet always increasing safety requirements in car industry, design and safety assessment methods are developed in order to fit the complexity of new embedded mecatronic systems.

Six factors came out as particularly influential: light, choice for the user, flexibility, connections (such as corridors and the way different areas fit together), complexity (for instance having different types of learning areas) and colour.

As a pragmatic way to proceed, we propose running small cost-efficient pre-investigations in order to estimate the joint cost-to-error surface, then fit underlying complexity and error models, decide upon a computational design for the full simulation, and finally to perform the designed simulation at near-optimal costs-to-accuracy ratio.

This was done since each approach involves different trade-offs between model fit and complexity, and to check that our conclusions about PA are not overly sensitive to the precise method used.

Unlike model selection using R-squared, which neglects the principles of parsimony, AIC considers both model fit and complexity, resulting in better predictions and allowing inferences to be made from multiple models [107].

We believe our model represents an acceptable trade off between goodness of fit and complexity, and that the variables we included capture much of the potential confounding effects associated with areas where alcohol establishments might be typically located.