jax.scipy.stats.gumbel_r.ppf

jax.scipy.stats.gumbel_r.ppf(p, loc=0, scale=1)

Gumbel Distribution (Right Skewed) percent point function.

JAX implementation of scipy.stats.gumbel_r ppf.

\[F(p; \mu, \beta) = \mu - \beta \log\left( -\log(p) \right)\]

Parameters:

• p (Array | ndarray | bool | number | bool | int | float | complex) – ArrayLike, probability value (quantile) at which to evaluate ppf

• loc (Array | ndarray | bool | number | bool | int | float | complex) – ArrayLike, distribution offset (\(\mu\)) (defaulted to 0)

• scale (Array | ndarray | bool | number | bool | int | float | complex) – ArrayLike, distribution scaling (\(\beta\)) (defaulted to 1)

Returns:

array of ppf values

Return type:

Array

See also

• jax.scipy.stats.gumbel_r.logpdf()

• jax.scipy.stats.gumbel_r.pdf()

• jax.scipy.stats.gumbel_r.logcdf()

• jax.scipy.stats.gumbel_r.cdf()

• jax.scipy.stats.gumbel_r.sf()

• jax.scipy.stats.gumbel_r.logsf()