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//
// A rust binding for the GSL library by Guillaume Gomez (guillaume1.gomez@gmail.com)
//
/*!
The F-distribution arises in statistics. If Y_1 and Y_2 are chi-squared deviates with \nu_1 and \nu_2 degrees of freedom then the ratio,
X = { (Y_1 / \nu_1) \over (Y_2 / \nu_2) }
has an F-distribution F(x;\nu_1,\nu_2).
!*/
use ffi;
use Rng;
/// This function returns a random variate from the F-distribution with degrees of freedom nu1 and nu2. The distribution function is,
///
/// p(x) dx =
/// { Gamma((\nu_1 + \nu_2)/2)
///
/// over Gamma(nu_1/2) Gamma(nu_2/2) }
///
/// \nu_1^{\nu_1/2} \nu_2^{\nu_2/2}
///
/// x^{\nu_1/2 - 1} (\nu_2 + \nu_1 x)^{-\nu_1/2 -\nu_2/2}
///
/// for x >= 0.
/// This function computes the cumulative distribution functions P(x), Q(x) and their inverses for the F-distribution with nu1 and nu2 degrees of freedom.
/// This function computes the cumulative distribution functions P(x), Q(x) and their inverses for the F-distribution with nu1 and nu2 degrees of freedom.
/// This function computes the cumulative distribution functions P(x), Q(x) and their inverses for the F-distribution with nu1 and nu2 degrees of freedom.
/// This function computes the cumulative distribution functions P(x), Q(x) and their inverses for the F-distribution with nu1 and nu2 degrees of freedom.
/// This function computes the cumulative distribution functions P(x), Q(x) and their inverses for the F-distribution with nu1 and nu2 degrees of freedom.