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The proposed algorithm included 4756 datasets to validate the effectiveness of the CSA-LSSVM model using statistical criteria.
In this paper, we tried to unify the available data into a more general model using statistical analysis.
Atop that it builds a predictive model using statistical analyses of the impact of bad weather and upcoming events such as ball games and concerts.
It is possible to validate a model using statistical tests making it possible to account for the reliability of the model.
Radhakrishman et al. [5] developed a predictive model using statistical methods which can a priori predict the rate of fouling and decrease in heat transfer efficiency of heat exchangers.
The purpose of this paper is to propose an approach that integrates these external simulation models with the MBSE integrated model using statistical metamodels that act as surrogates to the simulations.
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This model uses statistical methods to generate a mathematical model for gas lift operation.
Then, computational analysis was performed on changes in relative permeability curves upon using different gas phases with the aid of pore-scale modeling using statistical methods.
With the ever-increasing public availability of bioactivity data [12], it is possible to construct reliable target-prediction models using statistical or machine learning methods.
Finally, Blandon proposed the EVDF for six different constitutive models using statistical approaches and the equations are presented in Eq. (29).
A new procedure to reduce uncertainties in reservoir simulation models using statistical inference and observed data is presented in this paper.
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