normal distribution

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normal distribution

n.
A theoretical frequency distribution for a random variable, characterized by a bell-shaped curve symmetrical about its mean. Also called Gaussian distribution.

normal distribution

n
(Statistics) statistics a continuous distribution of a random variable with its mean, median, and mode equal, the probability density function of which is given by (exp-[(x–μ)2/2σ2]/σ√(2π)) where μ is the mean and σ2 the variance. Also called: Gaussian distribution

nor′mal distribu′tion


n.
a theoretical frequency distribution represented by a normal curve. Also called Gaussian distribution.
ThesaurusAntonymsRelated WordsSynonymsLegend:
Noun1.normal distribution - a theoretical distribution with finite mean and variance
distribution, statistical distribution - (statistics) an arrangement of values of a variable showing their observed or theoretical frequency of occurrence
statistics - a branch of applied mathematics concerned with the collection and interpretation of quantitative data and the use of probability theory to estimate population parameters
References in periodicals archive ?
Capitala Finance Corp (Nasdaq:CPTA) reported on Thursday that it will pay normal distributions of USD0.
However, if confidence intervals are to be calculated or statistical significance tests are to be performed on the variance components, assumptions of normal distributions for the effects of the model are usually needed (3, 5).
NASDAQ:CPTA) has declared normal distributions for the second quarter of 2016, the company said.
The author has organized the main body of his text in five chapters devoted to convergence to local time, convergence to a mixture of normal distributions, convergence to stochastic integrals, and a wide variety of other related subjects.
A true understanding of normal distributions and statistical theory clarifies the flaw in this reasoning.
Hodges describes mixed liner models using normal distributions and some richly parametrized models that can be expressed this way and can be analyzed using conventional and Bayesian methods for mixed linear models.
Power law and log normal distributions are fundamentally connected.
When the distributional assumption is not met the coverage is poor except for the cases of the positive and negative skewness skew normal distributions which perform similarly, possibly due to symmetry.
Of the species listed, 109 were observed moving outside their normal distributions from 2003 to 2007, showing a trend of moving to high latitude and high elevation regions, evidence of ecological response to climate change, the researchers said.
In our article, we use bivariate normal distributions as the basis of our studies, but in some circumstances observations < LOD may have some clusters of true zero values, and in these cases, imputing a strictly positive value between 0 and LOD (or a value below logarithmic LOD) will bias the results.
In this approach we use stable distributions, being the generalization of a normal distribution, but they are characterized by fatter tails than normal distributions.