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Alarms arise at the moment that a nominal relationship of variational directions among process variables is invalidated.
Letting (C_{t}^{g}) and (I_{t}^{g} ) denote real per capita public purchases and public investment, respectively, we have the following nominal relationship: (P_{At}G_{t}=P_{At}(C_{t}^{g}+I_{t}^{g}) +(1+tau ^{sc})P_{t}w_{t}^{g}N_{t}^{g}).
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The shrinkage of the dispersion parameter, on the other hand, preserves this nominal mean variance relationship.
By comparing the I V data from process-changed devices with nominal CMOS, relationships between process- induced geometry variation and device performance were investigated and analyzed.
The correlation analysis was performed using Pearson correlation coefficient and Spearman's rank coefficient, while the variables of the two variants, or multi-variants, were calculated using Spearman's rank coefficient and Yule's factor, Chi-square, correlation relations (for relationship nominal and ordinal measures), and by the Kendall's coefficient tau-b and tau-c [ 10, 11].
By analyzing the relationship between nominal stress and nominal strain of periodic material, and the corresponding deformed patterns, the influence of geometry and shapes of the holes on the mechanical property of architecture material is studied in more details.
The overall mechanical performances of the RC columns, involving the failure patterns, the nominal compressive stress strain relationships, the peak load-carrying capacity, the nominal compressive strength, the post-peak softening behavior and the buckling and necking of steel rebar were observed and explored.
For the dichotomous outcomes the relationship with nominal and ordinal variables was assessed using Pearson chi-square tests and uni-variate logistic regression.
Analyses of variants (ANOVAs) were performed to analyse the relationship of nominal parameters with continuous variables (e.g., patient age, tumour diameter).
Levels of chlorpyrifos in single-pesticide exposures were not determined analytically, because a recent study (Sandahl et al. 2005) characterized the concentration response relationship between nominal (and measured) chlorpyrifos exposure and brain AChE inhibition in juvenile coho across a range of concentrations identical to the nominal chlorpyrifos exposures used here (0 2.5 μg/L).
Assay linearity was measured by linear regression, where the coefficient, r, was derived from the relationship between nominal values (WHO IU/mL) of the low, middle, and high spike levels of each NIBSC standard and their measured concentrations (pg/mL) in each immunoassay and matrix.
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