Sentence examples for multinomial logit structure from inspiring English sources

The proposed model has a multinomial Logit structure.

As described for import, referring to a multinomial logit structure, this probability can be expressed as: Open image in new window (4 where I o is the set of possible destination zones for freight departing from zone o.

Referring to a multinomial logit structure, this probability can be expressed as: Open image in new window (3)where V o is the systematic utility of zone o, that can be expressed as a linear combination of attributes; I d is the set of possible origin zones within the study area from which freight can arrive to zone d; θ o is the parameter of the Gumbel random variable.

The proposed system is made up of behavioural models based on random utility theory, with multinomial or hierarchical Logit structures according to the degree of similarity perceived by the user among the different alternatives.

The model structures studied were: multinomial logit; mixed logit as a special case of random coefficients; mixed logit error components- considering panel effect and mixed logit error components – including possible correlations between attributes of intermodal alternatives.

This follows from the structure of the generic multinomial logit model, whereby the price elasticity of demand for a certain alternative is proportional to its initial price and to the estimated price coefficient [8: 111].

The first modeling structure considered is the multilevel multinomial logit model.

The structure of the proposed model is multinomial Logit.

Competition from other brands, the potential for market expansion, and heterogeneity in customer preference structures are explicitly modeled using the multinomial logit framework.

Each regression has been estimated separately, but the results in Table 5 follow the same structure as the results in Tables 3, 4. The explanatory variables are the same as in the multinomial logit that were explained in Sect.

"This estimation is done using a multinomial logit framework with past test scores, demographics and socioeconomic characteristics as explanatory variables".