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‡Wald test applied to establish the statistical significance of parameters obtained from logistic regression analysis; NS, not significant; NA, not applicable (due to lack of variability of data).
Verstraelen, T. et al. The significance of parameters in charge equilibration models.
According to fatty acid methyl ester yields, a quadratic experimental model was adjusted and the significance of parameters was evaluated using analysis of variance (ANOVA).
Standard large sample and conditional exact testing approaches for assessing significance of parameters in these models breakdown due to structured patterns inherent to antimicrobial resistance.
The results showed that the significance of parameters on the permeate flux followed the order of phenol concentration, membrane skin layer thickness, recirculation rate, and sodium chloride concentration after 6 and 48 h operations.
Analysis of variance (ANOVA) carried out to find the significance of parameters on multiple performance characteristics revealed that the feed rate has the highest contribution on GFRG followed by the spindle speed.
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We demonstrate the significance of parameter risk, model risk, as well as the systematic mortality risk component underlying the guarantee.
Joint inference regions were determined to assess the significance of parameter estimates and results indicate that all estimates involved in the precursor half-reactions were adequately determined.
We determined significance of parameter estimates using a Wald statistic.
The statistical significance of parameter estimates were evaluated using t values.
However, the latter model is found to perform better, as reflects the statistical significance of parameter estimates.
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