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Stochastic Prediction in Multinomial Logit Models
Management Science, 2000It is standard practice to form predictions from multinomial logit models by ignoring the estimation error associated with the parameter estimates and solving for the predicted endogeneous variable (market share) in terms of the exogenous variables and the point estimates of the parameters.
Arthur Hsu, Ronald T. Wilcox
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Systematic Calibration of Multinomial Logit Models
Journal of Transportation Engineering, 1983This paper presents a systematic procedure for calibrating a multinomial logit model through the use of the UTPS computer package developed by the Urban Mass Transportation Administration (UMTA) for the purpose of travel demand forecasting. A brief examination of the mathematical basis of the multinomial logit model is also presented.
Snehamay Khasnabis +2 more
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Logit and Probit: Ordered and Multinomial Models
Journal of the American Statistical Association, 2003(2003). Logit and Probit: Ordered and Multinomial Models. Journal of the American Statistical Association: Vol. 98, No. 463, pp. 775-776.
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2004
Le modèle logit à coefficients aléatoires est le modèle le plus prometteur parmi les modèles de choix discrets. Il généralise le modèle logit multinomial standard et utilise des méthodes de simulation pour l'estimation du modèle. De plus, il permet d'estimer la distribution des propensions marginales à payer.
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Le modèle logit à coefficients aléatoires est le modèle le plus prometteur parmi les modèles de choix discrets. Il généralise le modèle logit multinomial standard et utilise des méthodes de simulation pour l'estimation du modèle. De plus, il permet d'estimer la distribution des propensions marginales à payer.
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Tests for the multinomial logit model [PDF]
Jeremy Freese, J. Scott Long
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Interpreting Results From the Multinomial Logit Model
Organizational Research Methods, 2015Jesper N Wulff
exaly
Robust Assortment Optimization in Revenue Management Under the Multinomial Logit Choice Model
Operations Research, 2012Paat Rusmevichientong +1 more
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