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This paper presents a new copula based approach for modeling this correlation effect between sectorial responses.
We used autocorrelation averaging as an alternative way for reducing the observed correlation effect between noise and clean speech signal.
This fact has been proven by the correlation effect between transesterification activities and basicity of different catalysts (Figure 5).
Moreover, the operation of the FF code employs the correlation effect between consecutive symbols and each symbol is dependent on other symbols.
Results of the study showed that a copula based approach can be used for accurate modeling of the correlation effect between sectorial responses.
For instance, the uncertainty in modeling the correlation effect between sectorial responses has always been a challenge in the sector-by-sector synthesis approach.
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In particular, the correlation effects between adjacent and not-adjacent sources have been modeled and analyzed.
GGA method with the PBE format was employed to deal with the exchange correlation effects between electrons.
The generalized gradient approximation (GGA) method was employed to deal with the exchange correlation effects between electrons, and the Perdew-Burke-Ernzerhof (PBE) format was used.
This argument was used to explain correlation effects between crude oil and agricultural commodities, and, in particular, butter, in the study of Huchet-Bourdon (2011).
This behavior explains the correlation effects between input and output group structures.
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