Probit model
Modelo probit
- Date
- 1934 · confidence medium
- Place
- New Haven, Connecticut, United States
- Credited to
- Chester Ittner Bliss
- Field
- Knowledge & symbols
What it is
Regression model for binary dependent variables based on the cumulative normal distribution function, estimating category membership probability from explanatory variables; introduced by Chester Bliss.
What it led to
- Logistic regression as a common alternative
- Discrete choice models in econometrics
- Dose-response toxicology analysis
- Binary classification in applied statistics