PDL::GSL::CDF - PDL interface to GSL Cumulative Distribution Functions

       Copyright (C) 2009 Maggie J. Xiong <maggiexyz users.sourceforge.net>

       The GSL CDF module was written by J. Stover.

       All rights reserved. There is no warranty. You are allowed to redistribute this software / documentation
       as described in the file COPYING in the PDL distribution.

perl v5.34.0                                       2022-02-08                                           CDF(3pm)

       This is an interface to the Cumulative Distribution Function package present in the GNU Scientific
       Library.

       Let us have a continuous random number distributions are defined by a probability density function p(x).

       The cumulative distribution function for the lower tail P(x) is defined by the integral of p(x), and
       gives the probability of a variate taking a value less than "x". These functions are named
       cdf_NNNNNNN_P().

       The cumulative distribution function for the upper tail Q(x) is defined by the integral of p(x), and
       gives the probability of a variate taking a value greater than "x". These functions are named
       cdf_NNNNNNN_Q().

       The upper and lower cumulative distribution functions are related by "P(x) + Q(x) = 1" and satisfy "0 <=
       P(x) <= 1" and "0 <= Q(x) <= 1".

       The inverse cumulative distributions, "x = Pinv(P)" and "x = Qinv(Q)" give the values of "x" which
       correspond to a specific value of "P" or "Q". They can be used to find confidence limits from probability
       values.  These functions are named cdf_NNNNNNN_Pinv() and cdf_NNNNNNN_Qinv().

       For discrete distributions the probability of sampling the integer value "k" is given by p(k), where
       "sum_k p(k) = 1". The cumulative distribution for the lower tail P(k) of a discrete distribution is
       defined as, where the sum is over the allowed range of the distribution less than or equal to "k".

       The cumulative distribution for the upper tail of a discrete distribution Q(k) is defined as giving the
       sum of probabilities for all values greater than "k". These two definitions satisfy the identity "P(k) +
       Q(k) = 1".

       If the range of the distribution is 1 to "n" inclusive then "P(n) = 1", "Q(n) = 0" while "P(1) = p(1)",
       "Q(1) = 1 - p(1)".

TheBetaDistribution(gsl_cdf_beta_*)
       These functions compute the cumulative distribution functions P(x), Q(x) and their inverses for the beta
       distribution with parameters a and b.

   gsl_cdf_beta_P
         Signature: (double x(); double a(); double b(); double [o]out())

       gsl_cdf_beta_P processes bad values.  It will set the bad-value flag of all output ndarrays if the flag
       is set for any of the input ndarrays.

   gsl_cdf_beta_Pinv
         Signature: (double p(); double a(); double b(); double [o]out())

       gsl_cdf_beta_Pinv processes bad values.  It will set the bad-value flag of all output ndarrays if the
       flag is set for any of the input ndarrays.

   gsl_cdf_beta_Q
         Signature: (double x(); double a(); double b(); double [o]out())

       gsl_cdf_beta_Q processes bad values.  It will set the bad-value flag of all output ndarrays if the flag
       is set for any of the input ndarrays.

   gsl_cdf_beta_Qinv
         Signature: (double q(); double a(); double b(); double [o]out())

       gsl_cdf_beta_Qinv processes bad values.  It will set the bad-value flag of all output ndarrays if the
       flag is set for any of the input ndarrays.

   TheBinomialDistribution(gsl_cdf_binomial_*)
       These functions compute the cumulative distribution functions P(k), Q(k) for the binomial distribution
       with parameters p and n.

   gsl_cdf_binomial_P
         Signature: (ushort k(); double p(); ushort n(); double [o]out())

       gsl_cdf_binomial_P processes bad values.  It will set the bad-value flag of all output ndarrays if the
       flag is set for any of the input ndarrays.

   gsl_cdf_binomial_Q
         Signature: (ushort k(); double p(); ushort n(); double [o]out())

       gsl_cdf_binomial_Q processes bad values.  It will set the bad-value flag of all output ndarrays if the
       flag is set for any of the input ndarrays.

   TheCauchyDistribution(gsl_cdf_cauchy_*)
       These functions compute the cumulative distribution functions P(x), Q(x) and their inverses for the
       Cauchy distribution with scale parameter a.

   gsl_cdf_cauchy_P
         Signature: (double x(); double a(); double [o]out())

       gsl_cdf_cauchy_P processes bad values.  It will set the bad-value flag of all output ndarrays if the flag
       is set for any of the input ndarrays.

   gsl_cdf_cauchy_Pinv
         Signature: (double p(); double a(); double [o]out())

       gsl_cdf_cauchy_Pinv processes bad values.  It will set the bad-value flag of all output ndarrays if the
       flag is set for any of the input ndarrays.

   gsl_cdf_cauchy_Q
         Signature: (double x(); double a(); double [o]out())

       gsl_cdf_cauchy_Q processes bad values.  It will set the bad-value flag of all output ndarrays if the flag
       is set for any of the input ndarrays.

   gsl_cdf_cauchy_Qinv
         Signature: (double q(); double a(); double [o]out())

       gsl_cdf_cauchy_Qinv processes bad values.  It will set the bad-value flag of all output ndarrays if the
       flag is set for any of the input ndarrays.

   TheChi-squaredDistribution(gsl_cdf_chisq_*)
       These functions compute the cumulative distribution functions P(x), Q(x) and their inverses for the chi-
       squared distribution with nu degrees of freedom.

   gsl_cdf_chisq_P
         Signature: (double x(); double nu(); double [o]out())

       gsl_cdf_chisq_P processes bad values.  It will set the bad-value flag of all output ndarrays if the flag
       is set for any of the input ndarrays.

   gsl_cdf_chisq_Pinv
         Signature: (double p(); double nu(); double [o]out())

       gsl_cdf_chisq_Pinv processes bad values.  It will set the bad-value flag of all output ndarrays if the
       flag is set for any of the input ndarrays.

   gsl_cdf_chisq_Q
         Signature: (double x(); double nu(); double [o]out())

       gsl_cdf_chisq_Q processes bad values.  It will set the bad-value flag of all output ndarrays if the flag
       is set for any of the input ndarrays.

   gsl_cdf_chisq_Qinv
         Signature: (double q(); double nu(); double [o]out())

       gsl_cdf_chisq_Qinv processes bad values.  It will set the bad-value flag of all output ndarrays if the
       flag is set for any of the input ndarrays.

   TheExponentialDistribution(gsl_cdf_exponential_*)
       These functions compute the cumulative distribution functions P(x), Q(x) and their inverses for the
       exponential distribution with mean mu.

   gsl_cdf_exponential_P
         Signature: (double x(); double mu(); double [o]out())

       gsl_cdf_exponential_P processes bad values.  It will set the bad-value flag of all output ndarrays if the
       flag is set for any of the input ndarrays.

   gsl_cdf_exponential_Pinv
         Signature: (double p(); double mu(); double [o]out())

       gsl_cdf_exponential_Pinv processes bad values.  It will set the bad-value flag of all output ndarrays if
       the flag is set for any of the input ndarrays.

   gsl_cdf_exponential_Q
         Signature: (double x(); double mu(); double [o]out())

       gsl_cdf_exponential_Q processes bad values.  It will set the bad-value flag of all output ndarrays if the
       flag is set for any of the input ndarrays.

   gsl_cdf_exponential_Qinv
         Signature: (double q(); double mu(); double [o]out())

       gsl_cdf_exponential_Qinv processes bad values.  It will set the bad-value flag of all output ndarrays if
       the flag is set for any of the input ndarrays.

   TheExponentialPowerDistribution(gsl_cdf_exppow_*)
       These functions compute the cumulative distribution functions P(x), Q(x) for the exponential power
       distribution with parameters a and b.

   gsl_cdf_exppow_P
         Signature: (double x(); double a(); double b(); double [o]out())

       gsl_cdf_exppow_P processes bad values.  It will set the bad-value flag of all output ndarrays if the flag
       is set for any of the input ndarrays.

   gsl_cdf_exppow_Q
         Signature: (double x(); double a(); double b(); double [o]out())

       gsl_cdf_exppow_Q processes bad values.  It will set the bad-value flag of all output ndarrays if the flag
       is set for any of the input ndarrays.

   TheF-distribution(gsl_cdf_fdist_*)
       These functions compute the cumulative distribution functions P(x), Q(x) and their inverses for the
       F-distribution with nu1 and nu2 degrees of freedom.

   gsl_cdf_fdist_P
         Signature: (double x(); double nua(); double nub(); double [o]out())

       gsl_cdf_fdist_P processes bad values.  It will set the bad-value flag of all output ndarrays if the flag
       is set for any of the input ndarrays.

   gsl_cdf_fdist_Pinv
         Signature: (double p(); double nua(); double nub(); double [o]out())

       gsl_cdf_fdist_Pinv processes bad values.  It will set the bad-value flag of all output ndarrays if the
       flag is set for any of the input ndarrays.

   gsl_cdf_fdist_Q
         Signature: (double x(); double nua(); double nub(); double [o]out())

       gsl_cdf_fdist_Q processes bad values.  It will set the bad-value flag of all output ndarrays if the flag
       is set for any of the input ndarrays.

   gsl_cdf_fdist_Qinv
         Signature: (double q(); double nua(); double nub(); double [o]out())

       gsl_cdf_fdist_Qinv processes bad values.  It will set the bad-value flag of all output ndarrays if the
       flag is set for any of the input ndarrays.

   TheFlat(Uniform)Distribution(gsl_cdf_flat_*)
       These functions compute the cumulative distribution functions P(x), Q(x) and their inverses for a uniform
       distribution from a to b.

   gsl_cdf_flat_P
         Signature: (double x(); double a(); double b(); double [o]out())

       gsl_cdf_flat_P processes bad values.  It will set the bad-value flag of all output ndarrays if the flag
       is set for any of the input ndarrays.

   gsl_cdf_flat_Pinv
         Signature: (double p(); double a(); double b(); double [o]out())

       gsl_cdf_flat_Pinv processes bad values.  It will set the bad-value flag of all output ndarrays if the
       flag is set for any of the input ndarrays.

   gsl_cdf_flat_Q
         Signature: (double x(); double a(); double b(); double [o]out())

       gsl_cdf_flat_Q processes bad values.  It will set the bad-value flag of all output ndarrays if the flag
       is set for any of the input ndarrays.

   gsl_cdf_flat_Qinv
         Signature: (double q(); double a(); double b(); double [o]out())

       gsl_cdf_flat_Qinv processes bad values.  It will set the bad-value flag of all output ndarrays if the
       flag is set for any of the input ndarrays.

   TheGammaDistribution(gsl_cdf_gamma_*)
       These functions compute the cumulative distribution functions P(x), Q(x) and their inverses for the gamma
       distribution with parameters a and b.

   gsl_cdf_gamma_P
         Signature: (double x(); double a(); double b(); double [o]out())

       gsl_cdf_gamma_P processes bad values.  It will set the bad-value flag of all output ndarrays if the flag
       is set for any of the input ndarrays.

   gsl_cdf_gamma_Pinv
         Signature: (double p(); double a(); double b(); double [o]out())

       gsl_cdf_gamma_Pinv processes bad values.  It will set the bad-value flag of all output ndarrays if the
       flag is set for any of the input ndarrays.

   gsl_cdf_gamma_Q
         Signature: (double x(); double a(); double b(); double [o]out())

       gsl_cdf_gamma_Q processes bad values.  It will set the bad-value flag of all output ndarrays if the flag
       is set for any of the input ndarrays.

   gsl_cdf_gamma_Qinv
         Signature: (double q(); double a(); double b(); double [o]out())

       gsl_cdf_gamma_Qinv processes bad values.  It will set the bad-value flag of all output ndarrays if the
       flag is set for any of the input ndarrays.

   TheGaussianDistribution(gsl_cdf_gaussian_*)
       These functions compute the cumulative distribution functions P(x), Q(x) and their inverses for the
       Gaussian distribution with standard deviation sigma.

   gsl_cdf_gaussian_P
         Signature: (double x(); double sigma(); double [o]out())

       gsl_cdf_gaussian_P processes bad values.  It will set the bad-value flag of all output ndarrays if the
       flag is set for any of the input ndarrays.

   gsl_cdf_gaussian_Pinv
         Signature: (double p(); double sigma(); double [o]out())

       gsl_cdf_gaussian_Pinv processes bad values.  It will set the bad-value flag of all output ndarrays if the
       flag is set for any of the input ndarrays.

   gsl_cdf_gaussian_Q
         Signature: (double x(); double sigma(); double [o]out())

       gsl_cdf_gaussian_Q processes bad values.  It will set the bad-value flag of all output ndarrays if the
       flag is set for any of the input ndarrays.

   gsl_cdf_gaussian_Qinv
         Signature: (double q(); double sigma(); double [o]out())

       gsl_cdf_gaussian_Qinv processes bad values.  It will set the bad-value flag of all output ndarrays if the
       flag is set for any of the input ndarrays.

   TheGeometricDistribution(gsl_cdf_geometric_*)
       These functions compute the cumulative distribution functions P(k), Q(k) for the geometric distribution
       with parameter p.

   gsl_cdf_geometric_P
         Signature: (ushort k(); double p(); double [o]out())

       gsl_cdf_geometric_P processes bad values.  It will set the bad-value flag of all output ndarrays if the
       flag is set for any of the input ndarrays.

   gsl_cdf_geometric_Q
         Signature: (ushort k(); double p(); double [o]out())

       gsl_cdf_geometric_Q processes bad values.  It will set the bad-value flag of all output ndarrays if the
       flag is set for any of the input ndarrays.

   TheType-1GumbelDistribution(gsl_cdf_gumbel1_*)
       These functions compute the cumulative distribution functions P(x), Q(x) and their inverses for the
       Type-1 Gumbel distribution with parameters a and b.

   gsl_cdf_gumbel1_P
         Signature: (double x(); double a(); double b(); double [o]out())

       gsl_cdf_gumbel1_P processes bad values.  It will set the bad-value flag of all output ndarrays if the
       flag is set for any of the input ndarrays.

   gsl_cdf_gumbel1_Pinv
         Signature: (double p(); double a(); double b(); double [o]out())

       gsl_cdf_gumbel1_Pinv processes bad values.  It will set the bad-value flag of all output ndarrays if the
       flag is set for any of the input ndarrays.

   gsl_cdf_gumbel1_Q
         Signature: (double x(); double a(); double b(); double [o]out())

       gsl_cdf_gumbel1_Q processes bad values.  It will set the bad-value flag of all output ndarrays if the
       flag is set for any of the input ndarrays.

   gsl_cdf_gumbel1_Qinv
         Signature: (double q(); double a(); double b(); double [o]out())

       gsl_cdf_gumbel1_Qinv processes bad values.  It will set the bad-value flag of all output ndarrays if the
       flag is set for any of the input ndarrays.

   TheType-2GumbelDistribution(gsl_cdf_gumbel2_*)
       These functions compute the cumulative distribution functions P(x), Q(x) and their inverses for the
       Type-2 Gumbel distribution with parameters a and b.

   gsl_cdf_gumbel2_P
         Signature: (double x(); double a(); double b(); double [o]out())

       gsl_cdf_gumbel2_P processes bad values.  It will set the bad-value flag of all output ndarrays if the
       flag is set for any of the input ndarrays.

   gsl_cdf_gumbel2_Pinv
         Signature: (double p(); double a(); double b(); double [o]out())

       gsl_cdf_gumbel2_Pinv processes bad values.  It will set the bad-value flag of all output ndarrays if the
       flag is set for any of the input ndarrays.

   gsl_cdf_gumbel2_Q
         Signature: (double x(); double a(); double b(); double [o]out())

       gsl_cdf_gumbel2_Q processes bad values.  It will set the bad-value flag of all output ndarrays if the
       flag is set for any of the input ndarrays.

   gsl_cdf_gumbel2_Qinv
         Signature: (double q(); double a(); double b(); double [o]out())

       gsl_cdf_gumbel2_Qinv processes bad values.  It will set the bad-value flag of all output ndarrays if the
       flag is set for any of the input ndarrays.

   TheHypergeometricDistribution(gsl_cdf_hypergeometric_*)
       These functions compute the cumulative distribution functions P(k), Q(k) for the hypergeometric
       distribution with parameters n1, n2 and t.

   gsl_cdf_hypergeometric_P
         Signature: (ushort k(); ushort na(); ushort nb(); ushort t(); double [o]out())

       gsl_cdf_hypergeometric_P processes bad values.  It will set the bad-value flag of all output ndarrays if
       the flag is set for any of the input ndarrays.

   gsl_cdf_hypergeometric_Q
         Signature: (ushort k(); ushort na(); ushort nb(); ushort t(); double [o]out())

       gsl_cdf_hypergeometric_Q processes bad values.  It will set the bad-value flag of all output ndarrays if
       the flag is set for any of the input ndarrays.

   TheLaplaceDistribution(gsl_cdf_laplace_*)
       These functions compute the cumulative distribution functions P(x), Q(x) and their inverses for the
       Laplace distribution with width a.

   gsl_cdf_laplace_P
         Signature: (double x(); double a(); double [o]out())

       gsl_cdf_laplace_P processes bad values.  It will set the bad-value flag of all output ndarrays if the
       flag is set for any of the input ndarrays.

   gsl_cdf_laplace_Pinv
         Signature: (double p(); double a(); double [o]out())

       gsl_cdf_laplace_Pinv processes bad values.  It will set the bad-value flag of all output ndarrays if the
       flag is set for any of the input ndarrays.

   gsl_cdf_laplace_Q
         Signature: (double x(); double a(); double [o]out())

       gsl_cdf_laplace_Q processes bad values.  It will set the bad-value flag of all output ndarrays if the
       flag is set for any of the input ndarrays.

   gsl_cdf_laplace_Qinv
         Signature: (double q(); double a(); double [o]out())

       gsl_cdf_laplace_Qinv processes bad values.  It will set the bad-value flag of all output ndarrays if the
       flag is set for any of the input ndarrays.

   TheLogisticDistribution(gsl_cdf_logistic_*)
       These functions compute the cumulative distribution functions P(x), Q(x) and their inverses for the
       logistic distribution with scale parameter a.

   gsl_cdf_logistic_P
         Signature: (double x(); double a(); double [o]out())

       gsl_cdf_logistic_P processes bad values.  It will set the bad-value flag of all output ndarrays if the
       flag is set for any of the input ndarrays.

   gsl_cdf_logistic_Pinv
         Signature: (double p(); double a(); double [o]out())

       gsl_cdf_logistic_Pinv processes bad values.  It will set the bad-value flag of all output ndarrays if the
       flag is set for any of the input ndarrays.

   gsl_cdf_logistic_Q
         Signature: (double x(); double a(); double [o]out())

       gsl_cdf_logistic_Q processes bad values.  It will set the bad-value flag of all output ndarrays if the
       flag is set for any of the input ndarrays.

   gsl_cdf_logistic_Qinv
         Signature: (double q(); double a(); double [o]out())

       gsl_cdf_logistic_Qinv processes bad values.  It will set the bad-value flag of all output ndarrays if the
       flag is set for any of the input ndarrays.

   TheLognormalDistribution(gsl_cdf_lognormal_*)
       These functions compute the cumulative distribution functions P(x), Q(x) and their inverses for the
       lognormal distribution with parameters zeta and sigma.

   gsl_cdf_lognormal_P
         Signature: (double x(); double zeta(); double sigma(); double [o]out())

       gsl_cdf_lognormal_P processes bad values.  It will set the bad-value flag of all output ndarrays if the
       flag is set for any of the input ndarrays.

   gsl_cdf_lognormal_Pinv
         Signature: (double p(); double zeta(); double sigma(); double [o]out())

       gsl_cdf_lognormal_Pinv processes bad values.  It will set the bad-value flag of all output ndarrays if
       the flag is set for any of the input ndarrays.

   gsl_cdf_lognormal_Q
         Signature: (double x(); double zeta(); double sigma(); double [o]out())

       gsl_cdf_lognormal_Q processes bad values.  It will set the bad-value flag of all output ndarrays if the
       flag is set for any of the input ndarrays.

   gsl_cdf_lognormal_Qinv
         Signature: (double q(); double zeta(); double sigma(); double [o]out())

       gsl_cdf_lognormal_Qinv processes bad values.  It will set the bad-value flag of all output ndarrays if
       the flag is set for any of the input ndarrays.

   gsl_cdf_negative_binomial_P
         Signature: (ushort k(); double p(); double n(); double [o]out())

       gsl_cdf_negative_binomial_P processes bad values.  It will set the bad-value flag of all output ndarrays
       if the flag is set for any of the input ndarrays.

   gsl_cdf_negative_binomial_Q
         Signature: (ushort k(); double p(); double n(); double [o]out())

       gsl_cdf_negative_binomial_Q processes bad values.  It will set the bad-value flag of all output ndarrays
       if the flag is set for any of the input ndarrays.

   TheParetoDistribution(gsl_cdf_pareto_*)
       These functions compute the cumulative distribution functions P(x), Q(x) and their inverses for the
       Pareto distribution with exponent a and scale b.

   gsl_cdf_pareto_P
         Signature: (double x(); double a(); double b(); double [o]out())

       gsl_cdf_pareto_P processes bad values.  It will set the bad-value flag of all output ndarrays if the flag
       is set for any of the input ndarrays.

   gsl_cdf_pareto_Pinv
         Signature: (double p(); double a(); double b(); double [o]out())

       gsl_cdf_pareto_Pinv processes bad values.  It will set the bad-value flag of all output ndarrays if the
       flag is set for any of the input ndarrays.

   gsl_cdf_pareto_Q
         Signature: (double x(); double a(); double b(); double [o]out())

       gsl_cdf_pareto_Q processes bad values.  It will set the bad-value flag of all output ndarrays if the flag
       is set for any of the input ndarrays.

   gsl_cdf_pareto_Qinv
         Signature: (double q(); double a(); double b(); double [o]out())

       gsl_cdf_pareto_Qinv processes bad values.  It will set the bad-value flag of all output ndarrays if the
       flag is set for any of the input ndarrays.

   ThePascalDistribution(gsl_cdf_pascal_*)
       These functions compute the cumulative distribution functions P(k), Q(k) for the Pascal distribution with
       parameters p and n.

   gsl_cdf_pascal_P
         Signature: (ushort k(); double p(); ushort n(); double [o]out())

       gsl_cdf_pascal_P processes bad values.  It will set the bad-value flag of all output ndarrays if the flag
       is set for any of the input ndarrays.

   gsl_cdf_pascal_Q
         Signature: (ushort k(); double p(); ushort n(); double [o]out())

       gsl_cdf_pascal_Q processes bad values.  It will set the bad-value flag of all output ndarrays if the flag
       is set for any of the input ndarrays.

   ThePoissonDistribution(gsl_cdf_poisson_*)
       These functions compute the cumulative distribution functions P(k), Q(k) for the Poisson distribution
       with parameter mu.

   gsl_cdf_poisson_P
         Signature: (ushort k(); double mu(); double [o]out())

       gsl_cdf_poisson_P processes bad values.  It will set the bad-value flag of all output ndarrays if the
       flag is set for any of the input ndarrays.

   gsl_cdf_poisson_Q
         Signature: (ushort k(); double mu(); double [o]out())

       gsl_cdf_poisson_Q processes bad values.  It will set the bad-value flag of all output ndarrays if the
       flag is set for any of the input ndarrays.

   TheRayleighDistribution(gsl_cdf_rayleigh_*)
       These functions compute the cumulative distribution functions P(x), Q(x) and their inverses for the
       Rayleigh distribution with scale parameter sigma.

   gsl_cdf_rayleigh_P
         Signature: (double x(); double sigma(); double [o]out())

       gsl_cdf_rayleigh_P processes bad values.  It will set the bad-value flag of all output ndarrays if the
       flag is set for any of the input ndarrays.

   gsl_cdf_rayleigh_Pinv
         Signature: (double p(); double sigma(); double [o]out())

       gsl_cdf_rayleigh_Pinv processes bad values.  It will set the bad-value flag of all output ndarrays if the
       flag is set for any of the input ndarrays.

   gsl_cdf_rayleigh_Q
         Signature: (double x(); double sigma(); double [o]out())

       gsl_cdf_rayleigh_Q processes bad values.  It will set the bad-value flag of all output ndarrays if the
       flag is set for any of the input ndarrays.

   gsl_cdf_rayleigh_Qinv
         Signature: (double q(); double sigma(); double [o]out())

       gsl_cdf_rayleigh_Qinv processes bad values.  It will set the bad-value flag of all output ndarrays if the
       flag is set for any of the input ndarrays.

   Thet-distribution(gsl_cdf_tdist_*)
       These functions compute the cumulative distribution functions P(x), Q(x) and their inverses for the
       t-distribution with nu degrees of freedom.

   gsl_cdf_tdist_P
         Signature: (double x(); double nu(); double [o]out())

       gsl_cdf_tdist_P processes bad values.  It will set the bad-value flag of all output ndarrays if the flag
       is set for any of the input ndarrays.

   gsl_cdf_tdist_Pinv
         Signature: (double p(); double nu(); double [o]out())

       gsl_cdf_tdist_Pinv processes bad values.  It will set the bad-value flag of all output ndarrays if the
       flag is set for any of the input ndarrays.

   gsl_cdf_tdist_Q
         Signature: (double x(); double nu(); double [o]out())

       gsl_cdf_tdist_Q processes bad values.  It will set the bad-value flag of all output ndarrays if the flag
       is set for any of the input ndarrays.

   gsl_cdf_tdist_Qinv
         Signature: (double q(); double nu(); double [o]out())

       gsl_cdf_tdist_Qinv processes bad values.  It will set the bad-value flag of all output ndarrays if the
       flag is set for any of the input ndarrays.

   TheUnitGaussianDistribution(gsl_cdf_ugaussian_*)
       These functions compute the cumulative distribution functions P(x), Q(x) and their inverses for the unit
       Gaussian distribution.

   gsl_cdf_ugaussian_P
         Signature: (double x(); double [o]out())

       gsl_cdf_ugaussian_P processes bad values.  It will set the bad-value flag of all output ndarrays if the
       flag is set for any of the input ndarrays.

   gsl_cdf_ugaussian_Pinv
         Signature: (double p(); double [o]out())

       gsl_cdf_ugaussian_Pinv processes bad values.  It will set the bad-value flag of all output ndarrays if
       the flag is set for any of the input ndarrays.

   gsl_cdf_ugaussian_Q
         Signature: (double x(); double [o]out())

       gsl_cdf_ugaussian_Q processes bad values.  It will set the bad-value flag of all output ndarrays if the
       flag is set for any of the input ndarrays.

   gsl_cdf_ugaussian_Qinv
         Signature: (double q(); double [o]out())

       gsl_cdf_ugaussian_Qinv processes bad values.  It will set the bad-value flag of all output ndarrays if
       the flag is set for any of the input ndarrays.

   TheWeibullDistribution(gsl_cdf_weibull_*)
       These functions compute the cumulative distribution functions P(x), Q(x) and their inverses for the
       Weibull distribution with scale a and exponent b.

   gsl_cdf_weibull_P
         Signature: (double x(); double a(); double b(); double [o]out())

       gsl_cdf_weibull_P processes bad values.  It will set the bad-value flag of all output ndarrays if the
       flag is set for any of the input ndarrays.

   gsl_cdf_weibull_Pinv
         Signature: (double p(); double a(); double b(); double [o]out())

       gsl_cdf_weibull_Pinv processes bad values.  It will set the bad-value flag of all output ndarrays if the
       flag is set for any of the input ndarrays.

   gsl_cdf_weibull_Q
         Signature: (double x(); double a(); double b(); double [o]out())

       gsl_cdf_weibull_Q processes bad values.  It will set the bad-value flag of all output ndarrays if the
       flag is set for any of the input ndarrays.

   gsl_cdf_weibull_Qinv
         Signature: (double q(); double a(); double b(); double [o]out())

       gsl_cdf_weibull_Qinv processes bad values.  It will set the bad-value flag of all output ndarrays if the
       flag is set for any of the input ndarrays.

       PDL::GSL::CDF - PDL interface to GSL Cumulative Distribution Functions

           use PDL;
           use PDL::GSL::CDF;

           my $p = gsl_cdf_tdist_P( $t, $df );

           my $t = gsl_cdf_tdist_Pinv( $p, $df );