jax.scipy.stats.norm.sf#
- jax.scipy.stats.norm.sf(x, loc=0, scale=1)[source]#
Normal distribution survival function.
JAX implementation of
scipy.stats.normsf.The survival function is defined as
\[f_{sf}(x) = 1 - f_{cdf}(x)\]where \(f_{cdf}(x)\) is the cumulative distribution function,
jax.scipy.stats.norm.cdf().- Parameters:
x (Array | ndarray | bool_ | number | bool | int | float | complex) – arraylike, value at which to evaluate the SF
loc (Array | ndarray | bool_ | number | bool | int | float | complex) – arraylike, distribution offset parameter
scale (Array | ndarray | bool_ | number | bool | int | float | complex) – arraylike, distribution scale parameter
- Returns:
array of sf values.
- Return type: