jax.scipy.stats.pareto.ppf#
- jax.scipy.stats.pareto.ppf(q, b, loc=0, scale=1)[source]#
Pareto percent point function (inverse CDF).
JAX implementation of
scipy.stats.paretoppf.The Pareto percent point function is the inverse of the Pareto CDF, and is given by
\[\begin{split}F^{-1}(q, b) = \begin{cases} (1 - q)^{-1/b} & 0 \le q < 1\\ \text{NaN} & \text{otherwise} \end{cases}\end{split}\]and is defined for \(b > 0\).
- Parameters:
q (Array | ndarray | bool | number | bool | int | float | complex | TypedNdArray) – arraylike, value at which to evaluate the inverse CDF
b (Array | ndarray | bool | number | bool | int | float | complex | TypedNdArray) – arraylike, distribution shape parameter
loc (Array | ndarray | bool | number | bool | int | float | complex | TypedNdArray) – arraylike, distribution offset parameter
scale (Array | ndarray | bool | number | bool | int | float | complex | TypedNdArray) – arraylike, distribution scale parameter
- Returns:
array of percent point function values.
- Return type: