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The validity of the proposed models was benchmarked by using statistical criteria and NSGA-II was used for multi-objective optimisation for the convective heat transfer.
Commonly used distributions including exponential, Weibull, log-normal and log-logistic curves were tested, and the fit of each was assessed both by using statistical criteria (i.e., Akaike information criterion (AIC) and the Bayesian information criterion (BIC) (Cleves et al, 2002; Singer and Willett, 2003) and graphically by comparing the empirical and predicted curves.
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Usually, rotation methods are informed by the theoretical framework rather than simply using statistical criteria.
The models were further validated using statistical criteria.
Using statistical criteria, we have identified 67 up-regulated and 240 down-regulated genes.
The approach presented is conservative due to application of statistical and bioinformatic methods that substantially reduce type I error rates by using statistical significance criteria rather than fold-change values and by incorporation of potential confounding variables, such as psychotropic medication and cause of death.
Ordinarily, approaches filter candidate markers by using statistical techniques at the first step and find the final markers that satisfy certain criteria at the remaining stages [ 12– 15].
The checking criteria are derived using statistical theory in this paper.
In the present study, test criteria are qualitatively defined and parameterised using statistical methods for association analysis and by context-specific cut-off proposals.
Each criterion will be operationalised using statistical association analysis techniques.
The external validation of the models was further verified using several statistical criteria recommended by researchers.
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