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Since knowledge spillovers are unmeasurable, a 'goodness of fit' measure is constructed using innovation survey data.
The statistical quality of the QSAR models was assessed using statistical parameters r2, r2cv (cross-validated r2), r2pred (predictive r2) and lack of fit measure (LOF).
Moreover, three comparison metrics, F fit measure, κ statistic, and Spearman rank correlation coefficient, are computed to compare the results of these two approaches.
An F fit measure of 62.6%, κ statistic of 15.4 45.0%, and spatial mean ρ value of 0.48, imply a significant difference in decision making by incorporating the design rainfall uncertainty through the presented SPMCDM framework.
In [72], the authors propose to apply the coverage probability as a goodness of fit measure.
Over all such trials in all iterations, we select the best transformation T with the best fit measure.
Similar(30)
Based on the Benchmark Dose Technical Guidance, most fitting methods will provide a global goodness-of-fit measure, usually a p-value.
The optimization method requires the selection of a goodness-of-fit measure (GoFM) with the purpose of valuing the fitting of the kinetics to the experimental data.
goodness-of-fit measure to a given value of the Cash statistic.
The MVPLN is modeled using the WinBUGS platform which facilitates computation of posterior distributions as well as providing a goodness-of-fit measure for model comparisons.
The advantage of CSTAT over CASH is that an approximate goodness-of-fit measure may be assigned to a given value of the CSTAT statistic for X-ray spectral fitting.
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