Stated Choice Methods: Analysis and Applications

By Jordan J. Louviere, David A. Hensher, Joffre Swait. 2000

5,676 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/3f2065b7703c948b5a138a879f9ae9b669baa737

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Citations in the corpus

Industrial Location Modeling: Extending the Random Utility Framework (2004, unknown): “Then, we can estimate the parameters of the above equation by maximizing the following log-likelihood 5In the past this distribution has been referred to by other names such as Weibull, Gumbel and double-exponential (Louviere, Hensher, and Swait, 2000).”
Discrete Choice Models and Valuation Experiments (2003, unknown): “JES 30,6 594 It is well known that the use of conditional logit model is justi®ed only if the data satisfy the IIA assumption (Foster and Mourato, 2000; Louviere et al., 2000), otherwise other models should be used.”
Constructing experimental designs for discrete-choice experiments: report of the ISPOR Conjoint Analysis Experimental Design Good Research Practices Task Force. (2013, unknown): “[20] Louviere J, Swait J, Hensher D.”
Evaluating farmers’ likely participation in a payment programme for water quality protection in the UK uplands (2013, background): “McFadden’s Pseudo R, AIC and BIC statistics for these models are reported in Table 5, which also shows the number of individual respondents who could be strongly associated with particular segments in the various models. ‘Strong association’ here was considered to be a respondent-specific posterior ”
How to do (or not to do) ... Designing a discrete choice experiment for application in a low-income country. (2009, unknown): “Furthermore, the same methods for analysing DCE data apply irrespective of the study context and are well documented elsewhere (Louviere et al. 2000; Hensher et al. 2005).”
The Impact of Stop-Making and Travel Time Reliability on Commute Mode Choice (2006, background): “…enables the analyst to minimize the number of zero attribute difference cases across alternatives; zero attribute differences provide no statistical information about choice, since respondents do not have to tradeoff along this attribute to make a choice, see Louviere et al., 2000, p. 123).”
Advances and Challenges in Conversational Recommender Systems: A Survey (2021, unknown): “However, up to now, the majority of implemented methods are based on end-to-end dialogue systems [107, 28, 266] or deep language models [268]; the CRSs that focus on the interaction policy and the multi-turn conversation strategies ([100, 98]) are absent.”