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Taguchi is used to design the experiment, signal-to-noise (S/N) ratio is subsequently employed to analyze the performance of parameters on SEC and processing time, and the significant contributions of parameters can be determined by use of range analysis method.
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Central composite design (CCD) employed to model contribution of parameters viz.
The adequacy of the models and a significant contribution of parameters were determined by analysis of variance (ANOVA).
Based on composite desirability value, the optimum levels of parameters have been identified, and significant contribution of parameters is determined by analysis of variance.
In this paper, we propose a method to identify the possible changes by understanding the contribution of parameters on the outputs of concern.
The expected value of partially perfect information, which estimates the contribution of parameters to the EVPI, shows that uncertainties regarding vaccination program costs and effectiveness comprise >90% of the EVPI, due in part to the wide ranges they were assigned.
We analyzed the relative contributions of the parameters and their dependence on growth rate, by considering only selected parameters with an associated P-value < 0.05 to be significant indicators of mRNA stability.
Furthermore, using analysis of variance method, significant contributions of process parameters were determined.
A composite model reveals the separate contributions of these parameters to the mechanical properties.
The results of these analyses quantify differences in the contributions of model parameters to estimates of deer density over space.
A sensitivity analysis is further carried out to determine the contributions of the parameters affecting the load capacity.
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