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Incorporating a bootstrap resampling procedure in model development has been suggested to provide information on model stability [ 8- 11].
A common procedure in model analysis, it refers to applying a modification of the network and observing its resulting dynamic behavior.
To find the most parsimonious models in each case, we followed a standard procedure in model selection (Zuur et al. 2009).
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Simulation of the heterogeneous traffic with weak lane discipline requires special procedure in modeling to address the unique characteristics of such traffic.
The procedure used in model calculations is shown in the flowchart of Fig. 2.
Then role of human-computer procedures in modeling of design intent is characterized.
Thus, it is necessary to require each of the procedures, including intersection analysis, to be computationally efficient and seamless interface with other procedures in modeling.
Considering a seamless interfacing with other procedures in modeling, two algorithms are designed and presented, of which one is a completely independent parallel procedure with some redundant computations and the other is an optimized version with reduced redundancy.
Furthermore, the practical utility of the additional information provided by the bootstrap model selection procedure in prognostic modeling is demonstrated.
A model-making process (i.e., solution) is described as the procedure in which model fragments are applied (instantiated) in turn to the situations (represented with MACs and BCCs) to yield new consequences (represented with PPCs).
To evaluate the safety of our follicle isolation procedure in a model of ovarian tissue artificially contaminated with cancer cells, then to improve the procedure to effectively eliminate malignant cells from follicle suspensions without altering viability.
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