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.

Download PDF More Formats on IMF eLibrary Order a Print Copy Create Citation We compare how logit (fixed effects) and probit early warning systems (EWS) predict insample and out-of-sample currency ...

• Background and Aims Most current thermal-germination models are parameterized with subpopulation-specific rate data, interpolated from cumulative-germination-response curves. The purpose of this ...

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 ...