Sentence examples for model simplification procedures from inspiring English sources

All statistical analyses were computed using the free software R (http://www.r-project.org/) using methods, tests and model simplification procedures as described in Crawley [35].

It is the main goal of the presented work to derive a model simplification procedure for signal transduction pathways such that: (1) the model size is significantly reduced such that the model can be validated using available experimental data, and (2) the physical interpretation of the remaining states and parameters is retained.

We used a backward model simplification procedure by first fitting saturated models.

Automated procedures of model simplification, however, often make us forget that this constitutes a case of multiple hypotheses testing that will lead to high rates of type I errors (Zhang 1992; Whittingham et al. 2006; Mundry and Nunn 2009) as well as biased effect size estimates (Burnham and Anderson 2002; Lukacs et al. 2010).

The purpose of this paper is to develop a global optimization model, simplification schemes, and a heuristic procedure for the design of a shortcut-enhanced unidirectional loop aisle-network with pick-up and drop-off stations.

Model simplification was done in a stepwise procedure and non-significant terms were excluded [33].

Model simplification was performed using a classical backward selection procedure, by removing the variable showing the highest P value (when P > 0.05) from the model to select a best-fit set of explanatory variables [ 46].

The model described by the governing equations is exact, which means no simplification procedures like neglecting all inertia terms on in-plane directions are carried out.

Secondly, the procedure can be applied to SISO, MIMO, linear and nonlinear systems alike without requiring model simplification.

Model simplification and LDA parameters estimation.

Model simplification was performed using a backward stepwise algorithm.