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The probability functions for the Normal or Gaussian distribution are
described in Abramowitz & Stegun, Section 26.2.
- Function: double gsl_sf_erf_Z (double x)
-
- Function: int gsl_sf_erf_Z_e (double x, gsl_sf_result * result)
-
These routines compute the Gaussian probability function @math{Z(x) =
(1/(2\pi)) \exp(-x^2/2)}.
- Function: double gsl_sf_erf_Q (double x)
-
- Function: int gsl_sf_erf_Q_e (double x, gsl_sf_result * result)
-
These routines compute the upper tail of the Gaussian probability
function @math{Q(x) = (1/(2\pi)) \int_x^\infty dt \exp(-t^2/2)}.
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