table of contents
| CDF(3pm) | User Contributed Perl Documentation | CDF(3pm) |
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: (x(); a(); b(); [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: (p(); a(); b(); [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: (x(); a(); b(); [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: (q(); a(); b(); [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: (ulonglong k(); p(); ulonglong n(); [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: (ulonglong k(); p(); ulonglong n(); [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: (x(); a(); [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: (p(); a(); [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: (x(); a(); [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: (q(); a(); [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: (x(); nu(); [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: (p(); nu(); [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: (x(); nu(); [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: (q(); nu(); [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: (x(); mu(); [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: (p(); mu(); [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: (x(); mu(); [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: (q(); mu(); [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: (x(); a(); b(); [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: (x(); a(); b(); [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: (x(); nu1(); nu2(); [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: (p(); nu1(); nu2(); [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: (x(); nu1(); nu2(); [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: (q(); nu1(); nu2(); [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: (x(); a(); b(); [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: (p(); a(); b(); [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: (x(); a(); b(); [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: (q(); a(); b(); [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: (x(); a(); b(); [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: (p(); a(); b(); [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: (x(); a(); b(); [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: (q(); a(); b(); [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: (x(); sigma(); [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: (p(); sigma(); [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: (x(); sigma(); [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: (q(); sigma(); [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: (ulonglong k(); p(); [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: (ulonglong k(); p(); [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: (x(); a(); b(); [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: (p(); a(); b(); [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: (x(); a(); b(); [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: (q(); a(); b(); [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: (x(); a(); b(); [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: (p(); a(); b(); [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: (x(); a(); b(); [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: (q(); a(); b(); [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: (ulonglong k(); ulonglong n1(); ulonglong n2(); ulonglong t(); [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: (ulonglong k(); ulonglong n1(); ulonglong n2(); ulonglong t(); [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: (x(); a(); [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: (p(); a(); [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: (x(); a(); [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: (q(); a(); [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: (x(); a(); [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: (p(); a(); [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: (x(); a(); [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: (q(); a(); [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: (x(); zeta(); sigma(); [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: (p(); zeta(); sigma(); [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: (x(); zeta(); sigma(); [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: (q(); zeta(); sigma(); [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: (ulonglong k(); p(); n(); [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: (ulonglong k(); p(); n(); [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: (x(); a(); b(); [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: (p(); a(); b(); [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: (x(); a(); b(); [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: (q(); a(); b(); [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: (ulonglong k(); p(); ulonglong n(); [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: (ulonglong k(); p(); ulonglong n(); [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: (ulonglong k(); mu(); [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: (ulonglong k(); mu(); [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: (x(); sigma(); [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: (p(); sigma(); [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: (x(); sigma(); [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: (q(); sigma(); [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: (x(); nu(); [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: (p(); nu(); [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: (x(); nu(); [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: (q(); nu(); [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: (x(); [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: (p(); [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: (x(); [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: (q(); [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: (x(); a(); b(); [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: (p(); a(); b(); [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: (x(); a(); b(); [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: (q(); a(); b(); [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.
| 2024-11-04 | perl v5.40.0 |