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The statistical analyses are based on model optimisation and selection and are used to evaluate the shape of vertical amplitude ratio profiles.
These tools include methods for forward and inverse simulation, model management, sensitivity analysis, system identification, parameter estimation, model optimisation and partial-system testing.
A Bayesian inference based approach DREAM ZS) (DiffeRential Evolution Adaptive Metrololis algorithm) was combined with HYPE to implement model optimisation and uncertainty analysis on streamflow and streamwater IN concentration simulations at a nested meso scale catchment in central Germany.
Phylogenetic analysis was carried out on the resulting alignments using the PhyML algorithm within TOPALi v2.5 [ 65], including model optimisation and bootstrapping (100 repeats); an outgroup was used for rooting and phylogenetic trees were drawn using MEGA5 [ 66].
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There are various approaches for controlling and improving the energy efficiency within existing cement manufacturing units, however, mathematical modelling, simulation, optimisation and Process Integration are increasingly gaining in importance.
Cross-validation was used for the ASCA sub-model optimisations and permutation test for evaluations of the significance of the factors.
However, there is no fundamental distinction between learning the form and parameters of a model, because the form can be cast in terms of priors that switch parameters on or off (c.f., automatic relevance determination and model optimisation; [45]).
The full models, including stepwise covariate elimination steps and model optimisation transformation, are provided in the Additional files.
For model optimisation purposes, square root and logarithmic transformations were applied to achieve an approximate Gaussian distribution of residuals.
Model optimisation was performed via analysis of deviance and model residuals.
The modelling steps involve the generation of a superstructure, mathematical model construction, optimisation and solution interpretation.
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