Module rgsl::randist::gaussian

source ·

Functions

This function returns a Gaussian random variate, with mean zero and standard deviation sigma. The probability distribution for Gaussian random variates is,
This function computes the cumulative distribution functions P(x), Q(x) and their inverses for the Gaussian distribution with standard deviation sigma.
This function computes the cumulative distribution functions P(x), Q(x) and their inverses for the Gaussian distribution with standard deviation sigma.
This function computes the cumulative distribution functions P(x), Q(x) and their inverses for the Gaussian distribution with standard deviation sigma.
This function computes the cumulative distribution functions P(x), Q(x) and their inverses for the Gaussian distribution with standard deviation sigma.
This function computes the probability density p(x) at x for a Gaussian distribution with standard deviation sigma, using the formula given above.
This function computes a Gaussian random variate using the alternative Marsaglia-Tsang ziggurat and Kinderman-Monahan-Leva ratio methods. The Ziggurat algorithm is the fastest available algorithm in most cases.
This function computes results for the unit Gaussian distribution. They are equivalent to the functions above with a standard deviation of one, sigma = 1.
This function computes the cumulative distribution functions P(x), Q(x) and their inverses for the unit Gaussian distribution.
This function computes the cumulative distribution functions P(x), Q(x) and their inverses for the unit Gaussian distribution.
This function computes the cumulative distribution functions P(x), Q(x) and their inverses for the unit Gaussian distribution.
This function computes the cumulative distribution functions P(x), Q(x) and their inverses for the unit Gaussian distribution.
This function computes results for the unit Gaussian distribution. They are equivalent to the functions above with a standard deviation of one, sigma = 1.
This function computes results for the unit Gaussian distribution. They are equivalent to the functions above with a standard deviation of one, sigma = 1.