probit in a sentence
Examples
- Fitting the bivariate probit model involves estimating the values of \ beta _ 1, \ \ beta _ 2, and \ rho.
- In fact, the logit is the quantile function of the logistic distribution, while the probit is the quantile function of the normal distribution.
- Regression analysis on predicted outcomes that are binary variables is accomplished through logistic regression, probit regression or a related type of discrete choice model.
- One of the reasons the logit model was formulated was that the probit model was computationally difficult due to the requirement of numerically calculating integrals.
- In addition to its use in discriminant analysis it has been used in multiple regression analysis, probit regression, logistic regression and image analysis.
- With the additions of the multinomial probit model and the mixed logit model among several others, NLOGIT became a self standing superset of LIMDEP.
- The multinomial probit model has as a disadvantage that it makes calculation of maximum likelihood infeasible for more than five options as it involves multiple integrals.
- If v _ { it } and u _ { it } are independent, this model will degenerate to a probit model with unobservable heterogeneity.
- Another commonly applied model is the probit model where F is the cumulative normal distribution function, \ lambda = 0 and e follows a binomial distribution.
- Statistically, estimation techniques such as logistic regression or probit are used to create estimates of the probability of default for observations based on this historical data.