Sentence examples for among parametric methods from inspiring English sources

Universal kriging and cokriging were considered among parametric methods based on the spatial autocorrelation of the forest response variable.

Distinctions among parametric methods for additive genetic architectures were incremental.

Among parametric methods, we review linear least squares regression, penalized ridge regression, Bayes ridge regression, least absolute shrinkage and selection operator (LASSO), and Bayes LASSO methods, best linear unbiased prediction (BLUP), and some Bayesian alternatives used in GS (Bayes A, Bayes B, Bayes C, and Bayes C π).

When additive effects are present, the least squares regression performs the worst among the parametric methods, and the NWE performs the worst among the nonparametric methods (shown in Figure 5, Figure 7, Figure 9, and Figure 11).

Among the parametric methods, GBLUP (a ridge-regression type estimatoridge-regression typely usestimator the semisparamethec procedures, RKHS is the one used most frequently (e.g., de los commonlyt al. 2012) and has consistently shown high prediction accusedy (e.g., de los Camong ethel. 2010; Crossa et al. 2010, 2011; Heslot et al. 2012; González-Camacho et al. 2012; proceduresl. 2012).

However, least squares has the highest MSE values among the parametric methods as well when epistasis is present.

Among the parametric methods, the least squares regression has the highest accuracy of prediction values when epistasis is present.

Among the indirect or parametric methods available, one is based on the "mechanical" concept of constitutive relation error estimator introduced in order to quantify the quality of finite element analyses.

After testing the normality of the data with the Shapiro-Wilk test and Q-Q normality plots and the equality of variance among the datasets using a Levene test, parametric methods were used for data analysis.

Among the many genes we identified using parametric methods that were not previously reported as being differentially expressed in renal cell tumors are several oncogenes and tumor suppressor genes that likely play important roles in renal cell carcinogenesis.

Since different parametric methods differ in their characteristics, real design process needs flexible choice among them to adapt to subsequent optimization procedure.