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Now, we analyze the variance of MC for all cases.
Single factor ANOVA was performed in order to analyze the variance in different samples.
A period of ten months is selected to analyze the variance decomposition.
Due to the strong flexibility of artificial neural networks (ANNs), a new method on ANN is presented to analyze the variance based importance measure (VBIM) of correlated input variables.
In order to quantitatively analyze the variance contributions by correlated input variables to the model output, variance based global sensitivity analysis (GSA) is analytically derived for models with correlated variables.
The systematic statistical analysis of trends is an important way to make more valid Futures Maps from the point of view of criterion 4. Statistical methods - e.g., regression analysis – are effective ways to analyze the variance of time series of futures relevant variables.
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ANOVA software statistical system was used with Tukey's testing to analyze the variances and significances of difference between paired means.
This paper presents an improved method for analyzing the variance of the damage for any narrowband Gaussian process.
We also analyzed the variance component, that is, the random part of the hierarchical linear model, in the same manner as we analyzed the regression coefficients.
The statistical analysis of the obtained data was determined using the Co-statistical software package [26] by analyzing the variance (one way completely randomized, ANOVA).
When analyzing the variance treatment effect (P ≤ 0.05), the least standard deviation (LSD) test was applied to make comparison between means at the 0.05 levels of significances.
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