Add to ORKGA mixed logit mode choice model on panel data: accounting for systematic and random variations on responses and preference
Construction of experimental designs for mixed logit models allowing for correlation across choice o...
Mixed logit estimation of willingness to pay distributions: a comparison of models in preference and...
A computationally attractive model for the analysis of conjoint choice experiments is the mixed mult...
Developments in simulation methods, and the computational power that is now available, have enabled ...
It has become popular practice that joint estimation of choice models that use stated preference (SP...
The opportunity to have seven data sets associated with a stated choice experiment that are very sim...
The logit-mixed logit (LML) model advances choice modeling by generalizing previous parametric and s...
The impact of varying the number of repeated choice observations on the mixed multinomial logit mode
The impact of varying the number of repeated choice observations on the mixed multinomial logit mode
In each stated choice (SC) survey, there is an underlying experimental design from which the hypothe...
This paper deals with mode choice models based on panel data including refreshed samples at each wav...
Recent literature has combined Revealed (RP) and Stated Preference (SP) data in the Multinomial Logi...
Choice experiments have practical significance from the industry point of view and are useful in mar...
The mixed logit model is considered to be the most promising state of the art discrete choice model ...
Using mixed logit models to analyse choice data is common but requires ex ante specification of the ...
Construction of experimental designs for mixed logit models allowing for correlation across choice o...
Mixed logit estimation of willingness to pay distributions: a comparison of models in preference and...
A computationally attractive model for the analysis of conjoint choice experiments is the mixed mult...
Developments in simulation methods, and the computational power that is now available, have enabled ...
It has become popular practice that joint estimation of choice models that use stated preference (SP...
The opportunity to have seven data sets associated with a stated choice experiment that are very sim...
The logit-mixed logit (LML) model advances choice modeling by generalizing previous parametric and s...
The impact of varying the number of repeated choice observations on the mixed multinomial logit mode
The impact of varying the number of repeated choice observations on the mixed multinomial logit mode
In each stated choice (SC) survey, there is an underlying experimental design from which the hypothe...
This paper deals with mode choice models based on panel data including refreshed samples at each wav...
Recent literature has combined Revealed (RP) and Stated Preference (SP) data in the Multinomial Logi...
Choice experiments have practical significance from the industry point of view and are useful in mar...
The mixed logit model is considered to be the most promising state of the art discrete choice model ...
Using mixed logit models to analyse choice data is common but requires ex ante specification of the ...
Construction of experimental designs for mixed logit models allowing for correlation across choice o...
Mixed logit estimation of willingness to pay distributions: a comparison of models in preference and...
A computationally attractive model for the analysis of conjoint choice experiments is the mixed mult...