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Marginal goodness of fit was also evaluated through residuals inspection.
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It turns out that the capability of this copula-based derived distribution is strongly influenced by the choice of marginal distribution, while different copula functions have more than negligible impacts on the tails' goodness-of-fit.
Goodness-of-fit of the models was assessed by comparing estimated and observed marginal probabilities.
A global test of goodness-of-fit (G2 = 1901, p < 0.01) enhanced by the inspection of 2 by 2 marginal residuals showed a poor fit of this model.
Goodness-of-fit index.
Comparison of model goodness-of-fit.
ρ2 goodness-of-fit measures for these models ranged from.16 to.75.
Goodness-of-fit levels of the clustering solutions to the data set are compared in terms of natural logarithm of the marginal likelihood of the data.
Goodness-of-fit was checked by QQ-plots, similar to those in Shieh et al. (2006), which indicated that the fits were adequate for the marginals.
†χ goodness-of-fit test.
Goodness-of-fit and residuals.
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CEO of Professional Science Editing for Scientists @ prosciediting.com