Abstract: A previous method for deciding if a set of time-to-fail data follows a lognormal distribution or a Weibull distribution is expanded upon. Pearson's s-correlation coefficient is calculated ...

The individual synthetic data sets are then fitted with the lognormal distribution and the value for S* is estimated for each. If this is done many times, the mean of the S* estimates is the bootstrap ...

Kristina Zucchi is an investment analyst and financial writer with 15+ years of experience managing portfolios and conducting equity research. Gordon Scott has been an active investor and technical ...

Note: You must specify a value for the shape parameter for a lognormal Q-Q plot with the SIGMA= option or its alias, the SHAPE= option. The plot in Output 10.2.2 displays the most linear point pattern ...

This is a preview. Log in through your library . Abstract We have examined the statistical requirements for the detection of mixtures of two lognormal distributions in doubly truncated data when the ...

Abstract: The present paper deals with the use of the theory and computations given in Part I for a relaxation process governed by a lognormal distribution of relaxation times. The experimental ...

Many attempts have been made to derive a simple expression for the characteristic function of the lognormal distribution. This would be useful for computing the sum of lognormal variables, either with ...

Summary: New research delves into how the statistical distributions of neuron densities shape mammalian brains. The study analyzed seven species, discovering that neuron densities follow a lognormal ...