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.
This paper presents new models for simultaneous relationships among endogenous categorical variables. Previous investigators have argued that the loglinear/logit framework is insufficiently rich for ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results