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Using JMP - SAS

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Appendix B Formula Functions Reference 423<br />

Probability Functions<br />

The Weibull distribution has two parameters, α >0 and β >0. When β = 1 the pdf reduces to the<br />

exponential distribution (with γ =1/β). The exponential distribution is a special case of both the gamma<br />

and Weibull distributions. However, there are Weibull distributions that are not exponential distributions.<br />

Weibull Quantile<br />

Accepts a probability argument p, and returns the p th quantile from the Weibull distribution with the shape<br />

and scale parameters that you specify. The Weibull Quantile function is the inverse of the Weibull<br />

Distribution function.<br />

Johnson Su Distribution<br />

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

Johnson Su Quantile<br />

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

Johnson Su Density<br />

Returns the density at x of a Johnson Su distribution.<br />

Johnson Sb Distribution<br />

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

Johnson Sb Quantile<br />

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

Johnson Sb Density<br />

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

Johnson Sl Distribution<br />

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

Johnson Sl Quantile<br />

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

Johnson Sl Density<br />

Returns the density at x of a Johnson Sl distribution.

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