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This paper proposes the use of a generalized distribution, namely the Generalized T (GT) distribution in the joint estimation of process states and model parameters.
The parameters of the prior model are automatically calibrated while the estimation of the noise parameters is solved by identifying generalized distribution mixtures [P. Rostaing, J.-N. Provost, C. Collet, Proc.
In this work, a statistical analysis has been carried out over wide range of experimental data to investigate the accuracy of various characterization methods based on the attainable input data of heptane plus fraction (C7+) using generalized distribution model.
On the other hand, a new accurate approach was developed based on Riazi's generalized distribution model with input data of molecular weight (M7+), specific gravity (SG7+) and true boiling point distribution (Tb).
Considering the results of previous work that assessed the validity of various statistical models of glass strength, we use a generalized distribution of the Weibull type to derive new partial factors that account for a lower bound for glass strength or not.
Thus, random variates from this generalized distribution can easily be simulated.
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Results show that the root mean square error (RMSE) values were very small, which indicated that the five generalized distributions fitted the extreme rainfall data well.
Employing the entropy theory, this study derived five generalized distributions for frequency analysis that used different kinds of information encoded as constraints.
Many families of generalized distributions have appeared in the literature.
The PWMs are used to derive estimators of the parameters and quantiles of generalized distributions.
For a review of the recent development of generalized distributions, one may refer to Lee et al. (2013).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com