| g01bjc
|
Binomial distribution function
|
| g01bkc
|
Poisson distribution function
|
| g01blc
|
Hypergeometric distribution function
|
| g01cec
|
Deviate of Normal distribution function
|
| g01eac
|
Probabilities for the standard Normal distribution |
| g01ecc
|
Probabilities for χ2 distribution |
| g01eec
|
Upper and lower tail probabilities and probability density function for the beta distribution |
| g01efc
|
Probabilities for the gamma distribution |
| g01erc
|
Computes probability for von Mises distribution |
| g01etc
|
Landau distribution function Phi (λ) |
| g01euc
|
Vavilov distribution function PhiV (λ;kappa,beta2)
|
| g01eyc
|
Computes probabilities for the one-sample Kolmogorov–Smirnov distribution |
| g01ezc
|
Computes probabilities for the two-sample Kolmogorov–Smirnov distribution |
| g01fac
|
Deviates for the Normal distribution |
| g01fcc
|
Deviates for the χ2 distribution |
| g01fec
|
Deviates for the beta distribution |
| g01ffc
|
Deviates for the gamma distribution |
| g01gcc
|
Computes probabilities for the non-central χ2 distribution |
| g01gec
|
Computes probabilities for the non-central beta distribution |
| g01hac
|
Probability for the bivariate Normal distribution |
| g01hbc
|
Computes probabilities for the multivariate Normal distribution |
| g05cac
|
Pseudo-random real numbers, uniform distribution over (0,1)
|
| g05dac
|
Pseudo-random real numbers, uniform distribution over (a,b)
|
| g05dbc
|
Pseudo-random real numbers, (negative) exponential distribution |
| g05ddc
|
Pseudo-random real numbers, Normal distribution |
| g05dyc
|
Pseudo-random integer from uniform distribution |
| g05eac
|
Set up reference vector for multivariate Normal distribution |
| g05ecc
|
Set up reference vector for generating pseudo-random integers, Poisson distribution |
| g05edc
|
Set up reference vector for generating pseudo-random integers, binomial distribution |
| g05exc
|
Set up reference vector from supplied cumulative distribution function or probability distribution function
|
| g05fec
|
Pseudo-random real numbers from the beta distribution |
| g05ffc
|
Pseudo-random real numbers from the gamma distribution |
| g05kac
|
Pseudo-random real numbers, uniform distribution over (0,1), seeds and generator number passed explicitly
|
| g05lac
|
Generates a vector of random numbers from a Normal distribution, seeds and generator number passed explicitly
|
| g05lcc
|
Generates a vector of random numbers from a χ2 distribution, seeds and generator number passed explicitly
|
| g05lec
|
Generates a vector of random numbers from a beta distribution, seeds and generator number passed explicitly
|
| g05lfc
|
Generates a vector of random numbers from a γ distribution, seeds and generator number passed explicitly
|
| g05lgc
|
Generates a vector of random numbers from a uniform distribution, seeds and generator number passed explicitly
|
| g05lhc
|
Generates a vector of random numbers from a triangular distribution, seeds and generator number passed explicitly
|
| g05ljc
|
Generates a vector of random numbers from an exponential distribution, seeds and generator number passed explicitly
|
| g05lkc
|
Generates a vector of random numbers from a lognormal distribution, seeds and generator number passed explicitly
|
| g05llc
|
Generates a vector of random numbers from a Cauchy distribution, seeds and generator number passed explicitly
|
| g05lmc
|
Generates a vector of random numbers from a Weibull distribution, seeds and generator number passed explicitly
|
| g05lnc
|
Generates a vector of random numbers from a logistic distribution, seeds and generator number passed explicitly
|
| g05lpc
|
Generates a vector of random numbers from a von Mises distribution, seeds and generator number passed explicitly
|
| g05lqc
|
Generates a vector of random numbers from an exponential mixture distribution, seeds and generator number passed explicitly
|
| g05lzc
|
Generates a vector of random numbers from a multivariate Normal distribution, seeds and generator number passed explicitly
|
| g05mac
|
Generates a vector of random integers from a uniform distribution, seeds and generator number passed explicitly
|
| g05mbc
|
Generates a vector of random integers from a geometric distribution, seeds and generator number passed explicitly
|
| g05mcc
|
Generates a vector of random integers from a negative binomial distribution, seeds and generator number passed explicitly
|
| g05mdc
|
Generates a vector of random integers from a logarithmic distribution, seeds and generator number passed explicitly
|
| g05mec
|
Generates a vector of random integers from a Poisson distribution with varying mean, seeds and generator number passed explicitly
|
| g05mjc
|
Generates a vector of random integers from a binomial distribution, seeds and generator number passed explicitly
|
| g05mkc
|
Generates a vector of random integers from a Poisson distribution, seeds and generator number passed explicitly
|
| g05mlc
|
Generates a vector of random integers from a hypergeometric distribution, seeds and generator number passed explicitly
|
| g05mrc
|
Generates a vector of random integers from a multinomial distribution, seeds and generator number passed explicitly
|
| g05mzc
|
Generates a vector of random integers from a general discrete distribution, seeds and generator number passed explicitly
|
| g05yac
|
Multi-dimensional quasi-random number generator with a uniform probability distribution |
| g05ybc
|
Multi-dimensional quasi-random number generator with a Gaussian or log-normal probability distribution |
| g07aac
|
Computes confidence interval for the parameter of a binomial distribution |
| g07abc
|
Computes confidence interval for the parameter of a Poisson distribution |
| g07bbc
|
Computes maximum likelihood estimates for parameters of the Normal distribution from grouped and/or censored data
|
| g07bec
|
Computes maximum likelihood estimates for parameters of the Weibull distribution |
| s15abc
|
Cumulative Normal distribution function P(x) |
| s15acc
|
Complement of cumulative Normal distribution function Q(x) |
© The Numerical Algorithms Group Ltd, Oxford UK. 2002