G01EEF | Computes upper and lower tail probabilities and probability density function for the beta distribution |

G01EMF | Computes probability for the Studentized range statistic |

G01ERF | Computes probability for von Mises distribution |

G01HAF | Computes probability for the bivariate Normal distribution |

G01JCF | Computes probability for a positive linear combination of ${\chi}^{2}$ variables |

G01JDF | Computes lower tail probability for a linear combination of (central) ${\chi}^{2}$ variables |

G01KAF | Calculates the value for the probability density function of the Normal distribution at a chosen point |

G01KFF | Calculates the value for the probability density function of the gamma distribution at a chosen point |

G01KKF | Computes a vector of values for the probability density function of the gamma distribution |

G01KQF | Computes a vector of values for the probability density function of the Normal distribution |

G01LBF | Computes a vector of values for the probability density function of the multivariate Normal distribution |

G01SAF | Computes a vector of probabilities for the standard Normal distribution |

G01SBF | Computes a vector of probabilities for the Student's $t$-distribution |

G01SCF | Computes a vector of probabilities for ${\chi}^{2}$ distribution |

G01SDF | Computes a vector of probabilities for $F$-distribution |

G01SEF | Computes a vector of probabilities for the beta distribution |

G01SFF | Computes a vector of probabilities for the gamma distribution |

G08CJF | Calculates the Anderson–Darling goodness-of-fit test statistic and its probability for the case of uniformly distributed data |

G08CKF | Calculates the Anderson–Darling goodness-of-fit test statistic and its probability for the case of a fully-unspecified Normal distribution |

G08CLF | Calculates the Anderson–Darling goodness-of-fit test statistic and its probability for the case of an unspecified exponential distribution |

© The Numerical Algorithms Group Ltd, Oxford UK. 2013