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For the case n = 8, δ = 0.3, the left panel of Figure 4 shows the power improvement as a function of the coefficient of variation across the 66 cohorts considered (Table 2).
Models developed based on the Hertz contact theory and augmented with a damping term to accommodate the dissipation of energy during the impact process, which typically is a function of the coefficient of restitution between the contacting solids, are considered in this study.
Figure 4 (right hand side) shows the required sample size for K i and M R gluc max as a function of the coefficient of variation in order for a study to have 80% power with a treatment effect size of 30% (δ = 0.3).
Figure 2 depicts θ, 1 − θ and θ as a function of the coefficient of correlation.
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The penalty function is derived by taking the logarithm of the prior, yielding a penalty that is a function of the coefficients squared and the logarithm of a parabolic cylinder function of the absolute value of the coefficients.
Properties of this model are evaluated as a function of the inbreeding coefficient (F).
Figure 4B plots optimum total costs as a function of the correlation coefficient ρ.
In practice, this plot represents R2 as a function of the Minkowski coefficient.
The objective function is defined as a function of heat transfer coefficient and friction drag coefficient with weighting factor.
(b): Delay as a functions of the back-off coefficient.
Note that is a function of channel coefficients.
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Justyna Jupowicz-Kozak
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