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1999
The so-called normal distribution is a continuous, unimodal and symmetrical probability distribution of which the distributive curve (section 3.5) is bell-shaped (figure 5.1.1). This distribution was discovered independently by the Frenchman Pierre Simon de Laplace (1749–1827) and the German Karl Friedrich Gauss (1777-1855), who both studied ...
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The so-called normal distribution is a continuous, unimodal and symmetrical probability distribution of which the distributive curve (section 3.5) is bell-shaped (figure 5.1.1). This distribution was discovered independently by the Frenchman Pierre Simon de Laplace (1749–1827) and the German Karl Friedrich Gauss (1777-1855), who both studied ...
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Using normal distribution to retrieve temporal associations by Euclidean distance
2017 International Conference on Engineering & MIS (ICEMIS), 2017Aravind Cheruvu +2 more
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A Class of Statistics with Asymptotically Normal Distribution
, 1948W. Hoeffding
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Handbook of the Normal Distribution.
Journal of the Royal Statistical Society. Series A (General), 1983Adrienne W. Kemp +2 more
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2017 International Conference on Engineering & MIS (ICEMIS), 2017
V. Radhakrishna +3 more
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V. Radhakrishna +3 more
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A flexible generalization of the skew normal distribution based on a weighted normal distribution
Stat. Methods Appl., 2016M. Rasekhi, R. Chinipardaz, S. M. Alavi
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The Normal and Log-Normal Distributions
1984The binomial and Poisson distributions restrict the variable X to integer values. Two theoretical distributions that allow it to assume fractional values as well are the normal and log-normal distributions. Each is applicable to a wide variety of random variables.
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1966
Publisher Summary This chapter explains the normal distribution. The normal distribution cannot be applied to every measurement and there are various reasons for this fact. There may not be a large number of effects, and one particular effect may predominate, as with throws of a single die.
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Publisher Summary This chapter explains the normal distribution. The normal distribution cannot be applied to every measurement and there are various reasons for this fact. There may not be a large number of effects, and one particular effect may predominate, as with throws of a single die.
openaire +2 more sources