Concept information
Preferred term
continuous uniform distribution
Definition
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In probability theory and statistics, the continuous uniform distributions or rectangular distributions are a family of symmetric probability distributions. Such a distribution describes an experiment where there is an arbitrary outcome that lies between certain bounds. The bounds are defined by the parameters, a and b, which are the minimum and maximum values. The interval can either be closed (i.e. [a,b]) or open (i.e. (a,b)). Therefore, the distribution is often abbreviated U(a,b), where U stands for uniform distribution. The difference between the bounds defines the interval length; all intervals of the same length on the distribution's support are equally probable. It is the maximum entropy probability distribution for a random variable X under no constraint other than that it is contained in the distribution's support.
(Wikipedia, The Free Encyclopedia, https://en.wikipedia.org/wiki/Continuous_uniform_distribution)
Broader concept
Synonym(s)
- rectangular distribution
In other languages
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French
URI
http://data.loterre.fr/ark:/67375/PSR-S2TK2Z21-K
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