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The models fitted data within an acceptable level.
The proportion of variance explained by the regression on markers (R computed based on estimates of variance components) estimated from the stratified (single-environment) analysis ranged from moderate (∼0.4) to high (∼0.7); in general, models fitted data better in W3 (Table 5) than in W1 or W2.
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The Pearson χ2 values were insignificant for both the models indicating that the estimated multinomial regression models fit data reasonably well.
A good fit is achieved with the value of ({chi _{r}^{2}}) about 1, meaning that the fault model fits data within uncertainties.
The remaining 238 trees were used for model validation on data from the same population as the model fitting data set.
> -wrap-foot>Table 2 shows the 4P model fitting data for curves in sample extracts.
A model fitting data on a trait in multiple breeds as correlated pseudo-traits has been presented.
In general, the additional nonlinear PK models with saturable absorption, competitive binding to albumin, or nonlinear elimination did not lead to improvement of model fitting (data not shown).
The exponential relaxed-clock model fitted the ITS nrDNA data best whereas the Yule and birth-death models fitted the data equally well.
Thus, most configural MI models fitted the data reasonably well.
Again, most configural MI models fitted the data reasonably well.
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CEO of Professional Science Editing for Scientists @ prosciediting.com