Scripting Guide - SAS

650 JSL Syntax Reference Appendix A
Probability Functions
Lognormal Distribution(x, mu, sigma)
Description
Returns the probability at x of a lognormal distribution with location mu and scale sigma.
Lognormal Quantile(x, mu, sigma)
Description
Returns the quantile at p of a lognormal distribution with location mu and scale sigma.
Normal Biv Distribution(x, y, r, , , , )
Description
Computes the probability that an observation (X, Y) is less than or equal to (x, y) with correlation
coefficient r where X is individually normally distributed with mean mu1 and standard deviation s1 and
Y is individually normally distributed with mean mu2 and standard deviation s2. If mu1, s1, mu2, and
s2 are not given, the function assumes the standard normal bivariate distribution with mu1=0, s1=1,
mu2=0, and s2=1.
Normal Density(x, , )
Description
Returns the value of the density function at quantile x for the normal distribution with mean and
stddev. The default mean is 0. the default stddev is 1.
Normal Distribution(x, , )
Description
Returns the cumulative distribution function at quantile x for the normal distribution with mean and
stddev. The default mean is 0. the default stddev is 1.
Normal Mixture Density(q, mean, stdev, probability)
Description
Returns the density at q of a normal mixture distribution with group means mean, group standard
deviations stdev, and group probabilities probability. The mean, stdev, and probability arguments are all
vectors of the same size.
Normal Mixture Distribution(q, mean, stdev, probability)
Description
Returns the probability that a normal mixture distributed variable with group means mean, group
standard deviations stdev, and group probabilities probability is less than q. The mean, stdev, and
probability arguments are all vectors of the same size.