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- Q17086346 subject Q8646998.
- Q17086346 abstract "In statistics and econometrics, the multinomial probit model is a generalization of the probit model used when there are several possible categories that the dependent variable can fall into. As such, it is an alternative to the multinomial logit model as one method of multiclass classification. It is not to be confused with the multivariate probit model, which is used to model correlated binary outcomes for more than one independent variable.".
- Q17086346 wikiPageWikiLink Q1063540.
- Q17086346 wikiPageWikiLink Q10861030.
- Q17086346 wikiPageWikiLink Q12483.
- Q17086346 wikiPageWikiLink Q131191.
- Q17086346 wikiPageWikiLink Q160039.
- Q17086346 wikiPageWikiLink Q1650843.
- Q17086346 wikiPageWikiLink Q1806885.
- Q17086346 wikiPageWikiLink Q3150644.
- Q17086346 wikiPageWikiLink Q320723.
- Q17086346 wikiPageWikiLink Q3284399.
- Q17086346 wikiPageWikiLink Q5051810.
- Q17086346 wikiPageWikiLink Q635217.
- Q17086346 wikiPageWikiLink Q6934605.
- Q17086346 wikiPageWikiLink Q82642.
- Q17086346 wikiPageWikiLink Q8646998.
- Q17086346 comment "In statistics and econometrics, the multinomial probit model is a generalization of the probit model used when there are several possible categories that the dependent variable can fall into. As such, it is an alternative to the multinomial logit model as one method of multiclass classification. It is not to be confused with the multivariate probit model, which is used to model correlated binary outcomes for more than one independent variable.".
- Q17086346 label "Multinomial probit".