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Comparison of the wine glass's radiated sound power with and without the optimal masses indicates an excellent agreement between the specified and measured spectra.
The frequency criterion is defined as the weighted sum of squared errors between the specified and computed values of the design parameters.
Figure 8 shows how the absolute value of the difference between the specified and the measured crossover frequency was distributed over eleven valid measurements from the given experiment with an error-free system under test.
The equations of the system are the differences between the final pressure of the pipes that end at the same network nodes and the difference between the specified and calculated design variables.
In the optimization section, the computation of the monomer feed rate is performed because the solution of a constrained optimization problem where the batch time is the performance index which is minimized and the difference between the specified and obtained PSDs (error) and the heat removal capacity of the reactor jacket enter as constrains.
The SRMR is the average of the standardized residuals between the specified and obtained variance-covariance matrices.
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The generated result list includes all genomic regions, sorted by significance of methylation changes between the groups specified and the min/max/median change of methylation rate is calculated for further filtering (Fig. 2 step 3).
A non-linear relationship between the intensities specified and those measured on the PET scan was found and accounted for through a parametric calibration curve.
The model with Time alone was found to be the best model for predicting the probability of recapture (p), and thus p remains as a constant in this model; npar shows the number of parameters; QAICc is the adjusted AIC value following correction for overdipersion, and ∆QAICc shows the difference between the specified model and the 'best' model.
Φ (the probability of survival) remains as a constant in this model; npar shows the number of parameters; QAICc is the adjusted AIC value following correction for overdipersion, and ∆QAICc shows the difference between the specified model and the 'best' model.
For any open-ended categories of body mass index (e.g. <25 kg m−2), the mid-points were estimated assuming that body mass index was normally distributed and by taking the mid-point between the specified boundary and the estimated first percentile for estimation of a lower limit or 99th percentile for an upper limit.
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