Sentence examples for multinomial probit regression from inspiring English sources

We now combine these factors in a multinomial probit regression.

Table 3 presents the marginal effects of a multinomial probit regression, which includes the (non-instrumented) individual and municipality level regressors, as well as the province dummies, as outlined in section 3(b).

In the second stage, we run a multinomial probit regression, where the set of regressors includes the first-stage regression predicted residuals, the endogenous regressor, and the same set of individual-level and contextual controls as in the first stage.

Alternative-specific multinomial probit regression models, WTP values, and CIs for each symptom are presented in Table 1.

Figure  2 presents the observed (bars) and modeled (points) distribution of HI and MN titers from the multinomial ordered probit regression over the 3 sampling periods.

Finally, the Spearman correlation coefficient, stereotype logistic regression, ordered probit regression, multinomial logistic regression, and SEM methods are employed to study the correlations between the independent variables (e.g., age, gender, education, marriage) and scales.

Spearman correlation coefficient, stereotype logistic regression, ordered probit regression and multinomial logistic regression, and Structural equation model (SEM) methods are employed to study the relationship.

For algorithmic reasons, the latent regression model was implemented through a hidden multinomial probit model [38].

MNP – multinomial probit estimation.

We used multinomial probit model to test the first hypothesis.

13 We have considered estimating the model with multinomial probit, multinomial logit and nested logit, and have decided in favour of the multinomial probit – for the following reasons.