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Power Log Normal Distribution

docs/tutorial:stats:continuous_powerlognorm

A generalization of the log-normal distribution with shape parameters $σ > 0$ , $c > 0$ and support $x \geq 0$ .

μ_{n}^{'} = \int_{0}^{1} exp (- nσ Φ^{- 1} (y^{1/ c})) d y

This distribution reduces to the log-normal distribution when $c = 1.$

Implementation: scipy.stats.powerlognorm