The PROBIT Procedure
- Overview
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Getting Started
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Syntax
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Details
Missing Values Response Level Ordering Computational Method Distributions INEST= SAS-data-set Model Specification Lack-of-Fit Tests Rescaling the Covariance Matrix Tolerance Distribution Inverse Confidence Limits OUTEST= SAS-data-set XDATA= SAS-data-set Traditional High-Resolution Graphics Displayed Output ODS Table Names ODS Graphics
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Examples
- References
| Tolerance Distribution |
For a single independent variable, such as a dosage level, the models for the probabilities can be justified on the basis of a population with mean 
and scale parameter 
of tolerances for the subjects. Then, given a dose x, the probability, 
, of observing a response in a particular subject is the probability that the subject’s tolerance is less than the dose or
 |
Thus, in this case, the intercept parameter, 
, and the regression parameter, 
, are related to and by
 |
Note: The parameter is not equal to the standard deviation of the population of tolerances for the logistic and extreme value distributions.