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In the model technical report [ 21] a large number of analyses on model parameters were reported, and, naturally, changes in model parameters lead to changed model estimates.
All results are obtained without changes in model parameters.
This is demonstrated by changes in model outputs according to manipulations in parameters.
This is similar to tests of changes in model R2 in a typical ANOVA or regression.
Seemingly slight changes in model assumptions can produce non-trivial modifications in behavior.
(a) Depth-dependent changes in model parameters τ 0 ∗, μ∗, and α.
Biosorption kinetic modeling is frequently performed on both raw and modified biosorbents and changes in model parameters observed.
The graphical representation of these regions illustrates the robustness of these regions to changes in model parameters.
Additional analyses demonstrate the robustness of these results to changes in model specification, disaster measure, and estimation method.
By comparing the effect of changes in model structure for different model objectives, model selection can be better evaluated.
Any small refinements in initial data can lead to non-proportional changes in model behavior rendering this piecemeal convergence strategy ineffective as a means for confirming the model.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com