The various ANFIS structures and MVRA models were tried for prediction of desired parameters and best one was considered based on variance account for (VAF), root mean square error (RMSE) and correlation coefficient (R2).
As described in Lessells & Boag [ 45], RA was based on variance components from a one-way ANOVA with individual as a factor and each variable as dependent variable.
Statistics based on variance decomposition are shown in each graph.
Global methods based on variance decomposition are increasingly being used for sensitivity analysis (SA).
This is done with a compilation of statistical measures based on variance components.
The second DF, orthogonal to the first, separates the groups based on variance not yet explained by the first DF.
Here we see clustering that is based on variance of conductivity or alternatively the width of the band gap.
Two stepwise procedures based on variance estimators are proposed for selecting the significant variables in a general nonparametric regression model.
In this paper, we focus on measures based on variance, and therefore in the above formula, we apply the coefficient of variation as the inequality index.
As a complimentary for this analysis, the multicollinearity test based on variance inflation factor (VIF), correction method for heteroskedasticity problem, and specification tests has been done.
In the case of complex sampling, (hat{mathbf {I}}) is evaluated based on variance formulas appropriate for the sampling method used.
