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Afterward, the SPN is standardized using the mean and variance of the estimated normal distribution model.
A normal distribution model is usually used to determine the structural steel resistance factors.
When test results are skewed, a normal distribution model is not an efficient mathematical model to determine the resistance factors.
From Figure 6, we can also see that, in case of same network size, the larger the expectation, the more nodes will be required, i.e., the normal distribution model that the network shows.
Thus, a cost model combining Costa's cost model with the multivariate normal distribution model given by Yang and Hancock is developed in this study to explore the effect of correlation on the designed chart parameters.
The mechanical parameters such as elastic modulus of NFRC material is intrinsically inhomogeneous, and a normal distribution model of Young's modulus of natural fibers combined with finite element method (FEM) was developed to investigate the elastodynamic response of NFRC plates.
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My point was that this showed the odds were incalculable; the banks' use of normal distribution models gave them the illusion that, like poker, they could work out the probabilities.
The two protein datasets were fitted into Normal distribution models and the threshold for significance of +/− 1.5 was sufficient to separate differentially expressed proteins.
Here, we use the log-normal distribution model to fit distributions of all products to the overall experimental distribution.
The log-normal distribution model was simple to implement as it only relies on a two-parameter fit, in which these two parameters, the standard deviation and median, were obtained from the number-average molecular weight and the polydispersity of the molecular weight distribution.
We implemented a birth-death process with an uncorrelated log-normal distribution model for lineage substitution rate variation.
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