Sentence examples for goodness of experimental from inspiring English sources

Exact(2)

The issues that arise include vibration representation functions, selection of experimental mode shapes and frequencies for analysis, goodness of experimental data, frequency sensitivity of the elastic constants, influence of diagonal modes where relevant, plate thickness, plate aspect ratio, material orthotropy ratio and orientation of reinforcing fibers in laminate composites.

This criterion [ 24] defines the relative complexity of a model based on the goodness of experimental data fit and the number of model parameters | K| (initial concentrations of species are not considered): (7) AIC = χ 2 + 2 · K.

Similar(58)

Experimental results and simulated data both confirm that even at 80% compliance to the task, such a flexible model outperforms standard statistical analysis when assessed using the extent of activation (experimental data), goodness of fit (experimental data), and area under the operator characteristic curve (simulated data).

Criterion is essential for measuring the goodness of an experimental design.

COSOPT measures the goodness-of-fit between experimental data and a series of cosine curves of varying phases and period lengths.

Briefly, COSOPT measures the goodness-of-fit between experimental data and a series of cosine curves with varying phases and (user defined) period lengths.

While justifications in terms of the literature are perfectly valid, and point estimates of the goodness-of-fit to experimental data for some specific combination of parameter values can provide insights and permit model comparison [ 8], we propose a quantitative measure of evidence derived from the fit of the model to the data.

Numerical values of fitting parameters (a, τ, and β) used in this master equation (2) were calculated in such a way to minimize the mean-square deviations err (goodness of fitting) of experimental ΔR/R 0 points from a model curve.

These algorithms run using "periodic regression analysis", which utilizes the principles of regression analysis and tests the goodness of fit between experimental data and a sinusoid, and/or "spectrum analysis", which calculates a periodic function that would best fit the experimental data and analyzes periodic component(s) within the data.

Comparison of the proposed equation with other shrinkage curve equations is made in terms of goodness-of-fit measures with experimental data.

The R2 values, which indicate goodness-of-fit for fitting experimental data to the theoretical model in Eq. (5), were calculated by the software.

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