Scripting Guide - SAS

648 JSL Syntax Reference Appendix A
Probability Functions
delta Shape parameter that must be greater than 0.
theta Location parameter that can be any value.
sigma Parameter that defines if the distribution is skewed positively or negatively. Sigma must be equal
to either +1 (skewed positively) or -1 (skewed negatively).
Johnson Su Density(q, gamma, delta, theta, sigma)
Description
Returns the density at q of a Johnson Su distribution.
Arguments
q A value that is between -infinity and +infinity.
gamma Shape parameter that can be any value.
delta Shape parameter that must be greater than 0.
theta Location parameter that can be any value.
sigma Scale parameter that must be greater than 0.
Johnson Su Distribution(q, gamma, delta, theta, sigma)
Description
Returns the probability that a Johnson Su-distributed random variable is less than q.
Arguments
q A value that is between -infinity and +infinity.
gamma Shape parameter that can be any value.
delta Shape parameter that must be greater than 0.
theta Location parameter that can be any value.
sigma Scale parameter that must be greater than 0.
Johnson Su Quantile(p, gamma, delta, theta, sigma)
Description
Returns the quantile whose value for which the probability is p that a random value would be lower.
Arguments
p The probability of the quantile desired; p must be between 0 and 1.
gamma Shape parameter that can be any value.
delta Shape parameter that must be greater than 0.
theta Location parameter that can be any value.
sigma Scale parameter that must be greater than 0.
LEV Density(x, mu, sigma)
Description
Returns the density at x of the largest extreme value distribution with location mu and scale sigma.