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PPPLOT Statement |
You can use the PPPLOT statement to request P-P plots based on the theoretical distributions summarized in the following table:
Table 8.12: Distributions and ParametersParameters | |||||
Family | Distribution Function F(x) | Range | Location | Scale | Shape |
Beta | ![]() | ![]() | ![]() | ![]() | ![]() ![]() |
Exponential | ![]() | ![]() | ![]() | ![]() | |
Gamma | ![]() | ![]() | ![]() | ![]() | ![]() |
Lognormal | ![]() | ![]() | ![]() | ![]() | ![]() |
Normal | ![]() | all x | ![]() | ![]() | |
Weibull | ![]() | ![]() | ![]() | ![]() | c |
You can request these distributions with the BETA, EXPONENTIAL, GAMMA, LOGNORMAL, NORMAL, and WEIBULL options, respectively. If you do not specify a distribution option, a normal P-P plot is created.
To create a P-P plot, you must provide all of the parameters for the theoretical distribution. If you do not specify parameters, then default values or estimates are substituted, as summarized by the following table:
Table 8.13: Defaults for ParametersFamily | Default Values | Estimated Values |
Beta | ![]() ![]() | maximum likelihood estimates for ![]() ![]() |
Exponential | ![]() | maximum likelihood estimate for ![]() |
Gamma | ![]() | maximum likelihood estimates for ![]() ![]() |
Lognormal | ![]() | maximum likelihood estimates for ![]() ![]() |
Normal | None | sample estimates for ![]() ![]() |
Weibull | ![]() | maximum likelihood estimates for ![]() |
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