Power-function Distribution

docs/tutorial:stats:continuous_powerlaw

A special case of the beta distribution with $b = 1$ . There is one shape parameter $a > 0$ and support $x \in [0, 1]$ .

h [X] = 1 - \frac{1}{a} - lo g (a)

Implementation: scipy.stats.powerlaw