14.03.2014 Views

Scripting Guide - SAS

Scripting Guide - SAS

Scripting Guide - SAS

SHOW MORE
SHOW LESS

Create successful ePaper yourself

Turn your PDF publications into a flip-book with our unique Google optimized e-Paper software.

646 JSL Syntax Reference Appendix A<br />

Probability Functions<br />

GLog Density(q, mu, sigma, lambda)<br />

Description<br />

Returns the density at q of a generalized logarithmic distribution with location mu, scale sigma, and<br />

shape lambda.<br />

GLog Distribution(q, mu, sigma, lambda)<br />

Description<br />

Returns the probability that a generalized logarithmically distribution random variable is less than q.<br />

GLog Quantile(p, mu, sigma, lambda)<br />

Description<br />

Returns the quantile for whose value the probability is p that a random value would be lower.<br />

IGamma()<br />

See “Gamma Distribution(x, )” on page 645.<br />

Johnson Sb Density(q, gamma, delta, theta, sigma)<br />

Description<br />

Returns the density at q of a Johnson Sb distribution.<br />

Arguments<br />

q A value that is in the interval theta to theta + sigma.<br />

gamma Shape parameter that can be any value.<br />

delta Shape parameter that must be greater than 0.<br />

theta Location parameter that can be any value.<br />

sigma Scale parameter that must be greater than 0.<br />

Johnson Sb Distribution(q, gamma, delta, theta, sigma)<br />

Description<br />

Returns the probability that a Johnson Sb-distributed random variable is less than q.<br />

Arguments<br />

q A value that is in the interval theta to theta + sigma.<br />

gamma Shape parameter that can be any value.<br />

delta Shape parameter that must be greater than 0.<br />

theta Location parameter that can be any value.<br />

sigma Scale parameter that must be greater than 0.

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!