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The details of model development and model adequacy test by analysis of variance (ANOVA) are presented in this paper.
Statistical analysis was performed using the t test by analysis of variance at a 95% confidence level.
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The developed mathematical models are tested by analysis-of-variance (ANOVA) method to check their adequacy.
The significance of independent variables and their interactions were tested by analysis of variance (ANOVA).
The adequacy of fit of the above models (Eqs. 6 8) was tested by analysis of variance (ANOVA) (Tables 2, 3, 4).
This hypothesis should be further tested by analysis of zero-valent sulfur pools using independent analytical techniques such as Cr II) reduction [126] or voltammetry [127].
The suitability of AG as an expression vector in plants was tested by analysis of two infectious viral constructs, each containing a distinct gene insertion site.
Our designs were tested by analysis of electron transfer between heme maquettes and the well-known natural electron transporter, cytochrome c.
First-order response models for HAZ and surface roughness were presented and their adequacy was tested by analysis of variance (ANOVA).
Hardness measurements and uniformity were tested by analysis of variance, ANOVA, for single factor in order to determine if significant hardness variations across the block surface were present.
The developed mathematical models are tested by analysis of variance (ANOVA) method to check their adequacy and the effects of process parameters on the responses and the interaction effects of key process parameters on the quality are analyzed and discussed.
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