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Thus, this paper proposes a solving approach that uses Non-dominated Sorting Genetic Algorithm II (NSGA-II) with a simplified solving strategy (NSGA with strategy way for short), which employs system decomposition, coupling relationship among variables and transformations among models in every layer.
The relationship among variables was determined by correlation coefficient.
Then we build VAR model and examine cointegration relationship among variables using Johansen test.
Figure 1 shows the conceptual framework showing the relationship among variables.
Before testing the relationship among variables within a VAR system, a co-integration analysis is conducted.
Combined with a lot of training data, the relationship among variables is to be obtained.
Similar(23)
Correlation and regression analysis are related in the sense that both deal with relationships among variables.
Nonparametric multivariate analysis provided a characterization of relationships among variables.
The pattern of relationships among variables is described by a path diagram, a type of directed graph.
Correlation coefficients and stepwise multiple regression analysis evaluated relationships among variables measured.
Random assignment to treatment conditions is an important technique for warranting inferences regarding causal relationships among variables.
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