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QQPLOT Statement

Summary of Theoretical Distributions

You can use the QQPLOT statement to request Q-Q plots based on the theoretical distributions summarized in the following table:

Table 10.14: QQPLOT Statement Distribution Options
      Parameters
Distribution Density Function p(x) Range Location Scale Shape
      
Beta\frac{(x-\theta )^{\alpha-1}(\theta+\sigma-x)^{\beta-1}}
{B(\alpha,\beta)\sigma^{(\alpha+\beta-1)}}\theta\lt x \lt\theta+\sigma\theta\sigma\alpha, \beta
Exponential\frac{1}{\sigma}\exp(-\frac{x-\theta}{\sigma})x \geq \theta \theta\sigma 
Gamma\frac{1}{\sigma\Gamma(\alpha)}
(\frac{x-\theta}{\sigma})^{\alpha-1}
\exp(-\frac{x-\theta}{\sigma})x\gt\theta\theta\sigma\alpha
Lognormal\frac{1}{\sigma\sqrt{2\pi}(x-\theta)}
\exp(-\frac{(\log(x-\theta)-\zeta)^2}{2\sigma^2})x\gt\theta\theta\zeta\sigma
(3-parameter)     
Normal\frac{1}{\sigma\sqrt{2\pi}}
\exp(-\frac{(x-\mu)^2}{2\sigma^2})all x\mu\sigma 
Weibull\frac{c}{\sigma}(\frac{x-\theta}{\sigma})^{c-1}
\exp(-(\frac{x-\theta}{\sigma})^c)x\gt\theta\theta\sigmac
(3-parameter)     
Weibull\frac{c}{\sigma}(\frac{x-\theta_0}{\sigma})^{c-1}
\exp(-(\frac{x-\theta_0}{\sigma})^c)x\gt\theta_0\theta_0\sigmac
(2-parameter)  (known)  

You can request these distributions with the BETA, EXPONENTIAL, GAMMA, LOGNORMAL, NORMAL, WEIBULL, and WEIBULL2 options, respectively. If you do not specify a distribution option, a normal Q-Q plot is created.

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