[1] Train K E. Discrete choice methods with simulation [M]. Berkeley: University of California and National Economic Research Associates, Inc, 2002: 138-139;151-154.
[2] Rich J, Holmblad P M, Hansen C O. A weighted logit freight mode-choice model [J]. Transportation Research Part E, 2009, 45(2):1006-1019.
[3] Cramer J S. The early origins of the logit model [J]. Studies in History and Philosophy of Biological and Biomedical Sciences, 2004, 35(5): 613-626.
[4] Kalouptsidis N, Psaraki V. Approximations of choice probabilities in mixed logit models[J]. European Journal of Operational Research, 2010, 200(1):529-535.
[5] Ka Edi. Foundations of Bayesian theory[J].Journal of Economic Theory, 2007, 132(4):167-188.
[6] Hess S, Bierlaire M, Polak J W. Estimation of value of travel-time saving using mixed logit models [J]. Transportation Research Part A, 2004, 9(3):15-21.
[7] Jiang Y, Lu J, Wang S S. Mode and destination combined based on discrete choice theory [J]. Journal of Highway and Transportation Research and Development, 2007, 24(7):137-142.(in Chinese)
[8] Wang S S. On activity-based discrete choice travel demand analysis model [D]. Nanjing: School of Transportation of Southeast University, 2007.(in Chinese)
[9] Walker Joan. Mixed logit(or logit kernel)model: dispelling misconcepts of identification [J]. Transportation Research Record, 2002(1805): 86-98.
[10] Fosgerau M. Investigating the distribution of the value of travel time saving [J]. Transportation Research Part B, 2006, 40(3): 688-707.