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However, this step could be automatized with the topological filtering method proposed in Sunnåker et al. (2013b), which uses a parameter space exploration in combination with investigations of the effect of eliminated parameters.
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The P value after "No" is the P value when the eliminated parameter was included back into the final model for reevaluation after elimination.
The most likely hypothesis is using TSI empirical formula and eliminating parameters SD and DO that seems to lead us to more accurate answer.
Then screening experiment fractional factorial design was used in order to decrease the number of parameters by eliminating parameters which having insignificant effect on responses.
A key issue with these models is that age-at-harvest data alone are insufficient to estimate population parameters (such as abundance, survival, and recruitment), in part because not all animal deaths are accounted for through hunter harvest; strong assumptions or auxiliary data are typically needed to eliminate parameters or to make them estimable [2].
Besides eliminating parameters, our approach could as easily eliminate mutants.
Numerically, the formulation would allow us to continue eliminating parameters.
Thus, bivariate correlation tests were executed to eliminate parameters with a high multicollinearity before performing multiparameter analysis.
This involved eliminating parameters with small t-values (unless they had practical importance) and adding parameters with large modification indices if they were theoretically sound.
It is based upon a strategy that identifiable structures or submodels can be generated by systematically eliminating parameters of the original model until it becomes identifiable [ 19].
Another use of global sensitivities is to eliminate parameters from a model that have no significant influence on model behavior, hence simplifying the model.
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