The Canadian Journal of Statistics / La Revue Canadienne de Statistique We consider optimal designs for a class of symmetric models for binary data which includes the common probit and logit models.

Logistic regression is a powerful statistical method that is used to model the probability that a set of explanatory (independent or predictor) variables predict data in an outcome (dependent or ...

The response variable y can be either character or numeric. PROC LOGISTIC enumerates the total number of response categories and orders the response levels according to the ORDER= option in the PROC ...

This is a preview. Log in through your library . Abstract Probabilistic choice models are often based on utility concepts which call for assessments by decision makers of available alternatives. These ...