The PROBIT Procedure

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 mu and scale parameter sigma of tolerances for the subjects. Then, given a dose x, the probability, P, of observing a response in a particular subject is the probability that the subject’s tolerance is less than the dose or

upper P equals upper F left-parenthesis StartFraction x minus mu Over sigma EndFraction right-parenthesis

Thus, in this case, the intercept parameter, b 0, and the regression parameter, b 1, are related to mu and sigma by

b 0 equals minus StartFraction mu Over sigma EndFraction comma b 1 equals StartFraction 1 Over sigma EndFraction

Note: The parameter sigma is not equal to the standard deviation of the population of tolerances for the logistic and extreme value distributions.

Last updated: December 09, 2022