In contrast, two thirds of the variance of total carbon (Ct) and total nitrogen (Nt) could be explained by the fitted models.
The correlation coefficients, R, are all greater than 0.90, indicating that most of the variability of the dependent variable, logit (PWHO), can be explained by the fitted model for each algorithm.
Our results show that the observed crustal deformation can be explained by best-fit parameters.
Such an effect can be explained by the perfect fit of Trp95 in the hydrophobic cavity delimited by the side chains of Ser11, Leu23, Phe70, Pro72, Tyr78 and Arg97 in the core of β2-m β2-m
We speculate that this result might be explained by a poor fit between assumptions of the Structure model (Hardy-Weinberg equilibrium within populations and complete linkage equilibrium between loci) and our empirical data.
Finally, to determine if heterogeneity between counties could be explained by population characteristics, we fit the following Bayesian hierarchical regression model: where The following county characteristics were obtained from the United States Census summary files: proportion of county families living in poverty, population density, and proportion of residents over the age of 65.
The lower activity with Z-Gly-OAb might be explained by its somewhat distorted fit in the active site of trypsin.
This may be explained by the fact that beta regression fits both means and variances to the data.
With the same wheat dataset, Crossa et al. [ 15] reported a slightly higher accuracy by a few percents than that found here, but this may be explained by the fact that they simultaneously fitted a polygenic effect, which was not done here.
Also, 35% of the total variance could be explained by the model, with excellent fit statistics.
