jax.scipy.stats.gumbel_l.ppf

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

Gumbel Distribution (Left Skewed) percent point function (inverse of CDF)

JAX implementation of scipy.stats.gumbel_l ppf.

\[F_{ppf}}(p; \mu, \beta) = \mu + \beta \log\left( -\log(1 - p) \right)\]

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_l.logpdf()

• jax.scipy.stats.gumbel_l.pdf()

• jax.scipy.stats.gumbel_l.logcdf()

• jax.scipy.stats.gumbel_l.cdf()

• jax.scipy.stats.gumbel_l.logsf()

• jax.scipy.stats.gumbel_l.sf()