normal distribution

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  • noun

Synonyms for normal distribution

a theoretical distribution with finite mean and variance

References in periodicals archive ?
In a normal distribution, such an event should happen on just one trading day in every 1.
longitudinal data with observations < LOD for an analyte measured on two different occasions, or cross-sectional data with observations < LOD for two different analytes) can be imputed based on a bivariate normal distribution and analyzed using an MI approach.
Figure 3 shows more detailed frequency distributions of scores and ranks obtained in samples from a Gumbel distribution and a normal distribution.
The Normal distribution of ignition voltage values is accurate method which provided important information about part of insulation because respect values dispersion.
normal distribution supply chain since that time," says NACDS.
0] will vary near an average value, then filling, step-by-step, the arc of the normal distribution.
The first determined normal distribution is removed from the total distribution and the same procedure is repeated as long as it is possible to separate normal distributions from the total distribution.
The normal distribution is sensitive to outliers because it has a small "tail" so that the probability of occurrence of an event drops off quickly with the distance of a few standard deviations from the mean.
ATS said this "novel design results in a normal distribution of stress on the valve leaflets and laminar, non-turbulent blood flow across the prosthetic valve that is characteristic of a normal, native aortic valve.
The assumption of a normal distribution for the behavior of stock market returns is commonplace in the theory of finance, financial models, and security valuation methodologies.
As summarized in this article, this class preserves several properties of the Normal distribution.
In this paper the demand is assumed as a random variable and the distribution of the demand assumed as normal distribution.
In the model to be investigated random variables are assumed to have triangular and normal distribution.
Normal distribution means that the majority of the individual scores are close to the mean and as scores get progressively higher or lower than the mean, there are fewer of them.