Probits Catalina Stefanescu ∗ , Vance

نویسندگان

  • Catalina Stefanescu
  • Vance W. Berger
  • Scott Hershberger
چکیده

Probit models belong to the class of latent variable threshold models for analyzing binary data. They arise by assuming that the binary response is the indicator of the event that an unobserved latent variable exceeds a given threshold. Estimation can be done either in a likelihood or a Bayesian framework. The probit models can be generalized for the analysis of a variety of qualitative and limited dependent variables, as well as to the analysis of correlated data.

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تاریخ انتشار 2004