Discrete Uniform (randint) DistributionΒΆ
The discrete uniform distribution with parameters \(\left(a,b\right)\) constructs a random variable that has an equal probability of being any one of the integers in the half-open range \([a,b)\). If \(a\) is not given it is assumed to be zero and the only parameter is \(b\). Therefore,
\[ \begin{eqnarray*}
p\left(k,a,b\right) & = & \frac{1}{b-a} \quad a \leq k < b \\
F\left(x;a,b\right) & = & \frac{\left\lfloor x\right\rfloor -a}{b-a} \quad a \leq x \leq b \\
G\left(q;a,b\right) & = & \left\lceil q\left(b-a\right)+a\right\rceil \\
\mu & = & \frac{b+a-1}{2}\\
\mu_{2} & = & \frac{\left(b-a-1\right)\left(b-a+1\right)}{12}\\
\gamma_{1} & = & 0 \\
\gamma_{2} & = & -\frac{6}{5}\frac{\left(b-a\right)^{2}+1}{\left(b-a-1\right)\left(b-a+1\right)}.
\end{eqnarray*}\]
\[ \begin{eqnarray*}
M\left(t\right) & = & \frac{1}{b-a}\sum_{k=a}^{b-1}e^{tk}\\
& = & \frac{e^{bt}-e^{at}}{\left(b-a\right)\left(e^{t}-1\right)}
\end{eqnarray*}\]
Implementation: scipy.stats.randint