Uniform distribution¶
Story¶
Outcomes are restricted to a given continuous range and every outcome in that range has equal probability.
Example¶
Anything in which all possibilities are equally likely. This is, perhaps surprisingly, rarely encountered.
Parameters¶
The Uniform distribution is not defined on an infinite or semiinfinite domain, so finite lower and upper bounds, \(\alpha\) and \(\beta\), respectively, are necessary parameters.
Support¶
The Uniform distribution is supported on the interval \([\alpha, \beta]\).
Probability density function¶
\[\begin{split}\begin{align}
f(y;\alpha, \beta) = \left\{\begin{array}{ccl}\frac{1}{\beta\alpha}&&\alpha\le y\le\beta\\[0.5em] 0 && \text{otherwise.}\end{array}\right.
\end{align}\end{split}\]
Usage¶
Package 
Syntax 

NumPy 

SciPy 

Stan 
