jax.scipy.stats.gumbel_l.logsf

jax.scipy.stats.gumbel_l.logsf(x, loc=0, scale=1)

Gumbel Distribution (Left Skewed) log survival function.

JAX implementation of scipy.stats.gumbel_l logsf.

\[f_{sf}(x; \mu, \beta) = 1 - f_{cdf}(x, \mu, \beta)\]

Parameters:

• x (Array | ndarray | bool | number | bool | int | float | complex) – ArrayLike, value at which to evaluate log survival function

• 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 logsf 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.sf()