NAME
PDL::GSL::CDF - PDL interface to GSL Cumulative Distribution Functions
DESCRIPTION
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).
SYNOPSIS
use PDL;
use PDL::GSL::CDF;
my $p = gsl_cdf_tdist_P( $t, $df );
my $t = gsl_cdf_tdist_Pinv( $p, $df );FUNCTIONS
The Beta Distribution (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.
The Binomial Distribution (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.
The Cauchy Distribution (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.
The Chi-squared Distribution (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.
The Exponential Distribution (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.
The Exponential Power Distribution (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.
The F-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.
The Flat (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.
The Gamma Distribution (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.
The Gaussian Distribution (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.
The Geometric Distribution (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.
The Type-1 Gumbel Distribution (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.
The Type-2 Gumbel Distribution (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.
The Hypergeometric Distribution (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.
The Laplace Distribution (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.
The Logistic Distribution (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.
The Lognormal Distribution (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.
The Pareto Distribution (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.
The Pascal Distribution (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.
The Poisson Distribution (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.
The Rayleigh Distribution (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.
The t-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.
The Unit Gaussian Distribution (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.
The Weibull Distribution (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.
AUTHOR
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.