Using JMP - SAS

Appendix B Formula Functions Reference 433
Random Functions
Random Geometric
Returns random numbers from the geometric distribution with the parameter that you enter as the function
argument. The parameter, p, is the probability that a specific event occurs at any one trial. The number of
trials until a specific event occurs for the first time is described by the geometric distribution. The mean of
the geometric distribution is (1-p)/p, and the variance is (1 – p)/p 2 .
Random Poisson
Generates a Poisson variate based on the value of the parameter, lambda, you enter as the function
argument. Lambda is often the expected number of events occurring per unit time or unit of area. Lambda
is both the mean and the variance of the Poisson distribution.
Random Gamma Poisson
Returns random numbers from the gamma Poisson distribution with parameters lambda and sigma.
Random Weibull
Returns a random number from a Weibull distribution.
Random Logistic
Returns a random number from a logistic distribution with the location mu and scale sigma.
Random Loglogistic
Returns a random number from a loglogistic distribution with the location mu and scale sigma.
Random Lognormal
Returns a Lognormal-distributed random number with location parameter mu and scale sigma.
Random GLog
Returns random numbers from the generalized logarithm distribution with parameters mu, sigma, and
lambda. When lambda is equal to zero, the function returns a lognormal(mu, sigma).
Random Reset
Restarts the random number sequences with a seed that you specify.
Random LEV
Returns a random number from an LEV distribution with the specified location mu and scale sigma.
Random SEV
Returns a random number from the smallest extreme distribution with the specified location mu and scale
sigma.