Logit\|Probit model is investigated as an extra measured error mixed with the user′s utility in multinomial logit model. In the situation, the discrete choice proportion is considered as the conditional probability, ...Logit\|Probit model is investigated as an extra measured error mixed with the user′s utility in multinomial logit model. In the situation, the discrete choice proportion is considered as the conditional probability, the form of multinomial logit and the random variable. The distribution of the conditional probability is derived from the multinormal distribution of the measured error to the distribution of quotient of lognormal random variables. Examples are employed to illustrate its application.展开更多
基金Supported by Natural Science Fund and Aviation Science Fund
文摘Logit\|Probit model is investigated as an extra measured error mixed with the user′s utility in multinomial logit model. In the situation, the discrete choice proportion is considered as the conditional probability, the form of multinomial logit and the random variable. The distribution of the conditional probability is derived from the multinormal distribution of the measured error to the distribution of quotient of lognormal random variables. Examples are employed to illustrate its application.
