A model for multiple brand choice
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- Luo, Zheng & Chen, Xu & Chen, Jing & Wang, Xiaojun, 2017. "Optimal pricing policies for differentiated brands under different supply chain power structures," European Journal of Operational Research, Elsevier, vol. 259(2), pages 437-451.
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- Jae Young Choi & Yeonbae Kim & Yungman Jun & Yunhee Kim, 2009. "A Multivariate Probit Analysis of Korean Firms Information System Adoption: An Empirical Analysis on the Determinants of the Adoption and Complementarity Among the Information Systems," TEMEP Discussion Papers 200926, Seoul National University; Technology Management, Economics, and Policy Program (TEMEP), revised Nov 2009.
- Bhat, Chandra R., 2005. "A multiple discrete-continuous extreme value model: formulation and application to discretionary time-use decisions," Transportation Research Part B: Methodological, Elsevier, vol. 39(8), pages 679-707, September.
- Castro, Marisol & Bhat, Chandra R. & Pendyala, Ram M. & Jara-Díaz, Sergio R., 2012. "Accommodating multiple constraints in the multiple discrete–continuous extreme value (MDCEV) choice model," Transportation Research Part B: Methodological, Elsevier, vol. 46(6), pages 729-743.
- Bhat, Chandra R. & Srinivasan, Sivaramakrishnan & Sen, Sudeshna, 2006. "A joint model for the perfect and imperfect substitute goods case: Application to activity time-use decisions," Transportation Research Part B: Methodological, Elsevier, vol. 40(10), pages 827-850, December.
- Kalouptsidis, N. & Koutroumbas, K. & Psaraki, V., 2007. "Classification methods for random utility models with i.i.d. disturbances under the most probable alternative rule," European Journal of Operational Research, Elsevier, vol. 176(3), pages 1778-1794, February.
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- Bhat, Chandra R., 2008. "The multiple discrete-continuous extreme value (MDCEV) model: Role of utility function parameters, identification considerations, and model extensions," Transportation Research Part B: Methodological, Elsevier, vol. 42(3), pages 274-303, March.
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