Using JMP - SAS

Appendix B Formula Functions Reference 419
Probability Functions
Frechet Distribution
Returns the probability that a Fréchet distribution with location mu and scale sigma is less than x.
Frechet Quantile
Returns the quantile associated with a cumulative probability p for a Fréchet distribution with location mu
and scale sigma.
Gamma Density
Requires a quantile argument. Also accepts an optional shape parameter, which must be greater than zero
and defaults to 1. A scale parameter b, which must be greater than zero and defaults to 1 is optional. And a
threshold parameter, which must be in the range -∞ < θ < +∞ and defaults to zero is optional.
Gamma Distribution
Is based on the standard gamma function, and accepts a single argument with a quantile value. The shape,
scale, and threshold parameters are optional, with defaults as described previously in the discussion of the
Gamma Density function. It returns the probability that an observation from a standard gamma
distribution is less than or equal to the specified x. The Gamma Distribution function is the inverse of
Gamma Quantile function.
Gamma Quantile
Accepts a probability argument p, and returns the p th quantile from the standard gamma distribution with
the shape parameter that you specify. The Gamma Quantile function is the inverse of the Gamma
Distribution function.
LEV Density
Returns the density at x of the largest extreme value distribution with location mu and scale sigma.
LEV Distribution
Returns the probability that the largest extreme value distribution with location mu and scale sigma is less
than x.
LEV Quantile
Returns the quantile associated with a cumulative probability p of the largest extreme value distribution
with location mu and scale sigma.
Logistic Density
Returns the density at x of a logistic distribution with location mu and scale sigma.
Logistic Distribution
Returns the probability that the logistic distribution with location mu and scale sigma is less than x.