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In this text, with the help of validation data, the empirical likelihood method is extended to the nonlinear error-in-variables regression models with randomly censored response.
In the ten models with randomly chosen explanatory variables, the explained variance in the general satisfaction score varied from 57% to 68% (mean 64%) in the total sample.
Based on 5 sub-networks of 100 nodes sampled from gene networks of Escherichia coli and yeast, realistic kinetic models with randomly selected parameters were generated and simulated with GeneNetWeaver (Marbach et al., 2009) using stochastic differential equations.
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A finite periodic lattice model with randomly blocked bonds is used to investigate the effect of pore blocking on zeolitic diffusion.
Six idealised abdominal aortic aneurysm models were also created using the two base materials of the study, with a further model created using a new mixing technique to create a rubber model with randomly assigned material properties.
The stochastic model with randomly sized and located cavities has been proved to hinder the cooling capability by decreasing CHF, as compared to the deterministic model that comprises regular cavities.
The model with randomly selected sets generated the lowest values in both the training set, where model performance should be "the best" and in the test set.
As suggested by Masihi et al. (2005, 2008), the percolation threshold for a fracture network with two perpendicular fracture sets is lower than that for a model with randomly oriented fractures.
The maximal node matching for the random graphs (generated based on the Erdos Renyi model) with randomly assigned node weights (results analyzed in Sect. 5) incur an assortativity index close to 0 to vindicate that the maximal node matching is indeed independent of node weights.
This is unlike feeding probabilities in the generalized niche model [20] or in a niche model with randomly placed non-interval links [18], which remain constant even for species far from a predator's high-probability niche centre.
Majumder et al. [ 33] developed a computational model of 2D tissue of human ventricular cardiomyocytes using the TNNP model with randomly inserted passive cardiac fibroblast models.
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Justyna Jupowicz-Kozak
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