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Exact(28)
Four types of copulas; namely the Ali Mikhail–Haq (AMH), Frank, Gaussian and Farlie Gumbel Morgenstern (FGM) copulas are considered because the correlation between storm intensity, I, and duration, D, are negative and these copulas are appropriate when the relationship between the variables are negative.
Pearson's correlations between the variables are shown in Table 2.
Non-Linear: relationships between the variables are nonproportional.
The global BN is developed and the relationships between the variables are established as shown in Fig. 7.
In this experimental design, the exact quantity of each variable is not determined, and the interactions between the variables are considered negligible (Plackett and Burman [1946]).
We should remark that factor analysis with special transformation can only be applied if it is assumed that the relationships between the variables are linear.
Similar(32)
The reciprocal effects between the variables were favored by the data.
The causal relationship between the variables is further investigated by applying Innovative Accounting Approach IAAA).
The correlation between the variables is shown in Table 13 in the Appendix.
The means, standard deviations and intercorrelations between the variables was presented in Table 1f.
The Table 2 shows that the correlation between the variables is average.
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