The 3SD method combines the variance criterion, the sparsity criterion, and the component's frequency criterion into a uniform framework.
The existent covariance decomposition based global sensitivity analysis method combines the variance based sensitivity analysis results of the model output at all the instants, which just utilizes the information of the time-dependent output in time domain.
The method combines grid search with the Newton Raphson algorithm and can be applied, in order to find the optimal variance components.
To solve the problem, a new simulation-based optimization method combining OptQuest, experimental design, variance analysis, and response surface methodology, was conducted.
The test combined Variance Inflation Factor (VIF) and Eigen Values approaches.
Column 1 shows the multiple R and combined variance.
This factor explained ≥70% of the primary variables' combined variance.
On this basis, kriging variance analysis method combining with GIS is applied in the optimization of marine monitoring network in order to get more accurate and abundant information of the marine environment.
The variance component method combining linkage disequilibrium and linkage analysis seems to be an appropriate choice to analyze data sets which vary in marker density and which contain complex family structures.
The simplified statistical methodology utilizes the system moment method combined with a deterministic approach for calculating a maximum variance of rod internal pressure.
