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However, the values used to normalize each distribution were not the same.
The geometric moments of each distribution were used as input parameters inside the "AschFlow" model Lognormal parameters Geometric moments Mu Sigma Mean Standard deviation Mean + 1SD Mean - 1SD Friction coefficient −2.088 0.7310 0.1239 2.0773 0.2573 0.0596 Turbulent coefficient 5.6486 0.6302 283.89 1.8780 5.648640 15.64860.
Subsequently, with the objective of generating the synthetic distributions, the data parameters for each distribution were recalculated using the mean as the starting point to find a series of adjusting factors (m1, m2, m3) that represent the Beta family and the characteristics of the desired construction activity.
This randomization procedure was repeated 10,000 times, and the 95th percentile points of each distribution were used as the critical values for a two-tailed test of the null hypothesis with a probability of type I error of 0.05.
Raw scores for each subscale were standardised from 0 to 100 [ 35] and survivors who scored in the top 16% of each distribution were classified as a 'case' on that specific coping strategy [ 36].
Raw subscale scores were standardised from 0 to 100 and survivors who scored in the bottom one-third of each distribution were classified as having 'low' availability of that particular type of social support (Sherbourne, personal communication).
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The total number of cells, n, in each distribution is indicated.
(a) Distributions calculated directly based on atomistic computations for two CNT sets (d≈0.8 nm and 1.2 nm, each distribution is normalized separately).
An important features is the requirement that, in order to make the choice set realistic, the cost of each distribution is consistent with an equilibrium model of asset pricing in capital markets.
The number of asteroids used in each distribution is indicated in each plot.
The estimated parameters for each distribution are shown in the Appendix.
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