'The usefulness of Bayesian optimal designs for discrete choice experiments' by R. Kessels, B. Jones, P. Goos and M. Vandebroek

Applied Stochastic Models in Business and Industry

Volumn 27, Issue 3, 2011, Pages 193-196

  Rose, John M ^a  

^a UNIVERSITY OF SYDNEY   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 79959953454     PISSN: 15241904     EISSN: 15264025     Source Type: Journal    
DOI: 10.1002/asmb.882     Document Type: Note

References (7)

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2. Kessels R, Jones B, Goos P, Vandebroek M,. The usefulness of Bayesian optimal designs for discrete choice experiments. Applied Stochastic Models in Business and Industry 2011; DOI: 10.1002/asmb.881.
3. Hensher DA, Louviere JJ,. Using discrete choice models with experimental design data to forecast consumer demand for a unique cultural event. Journal of Consumer Research 1983; 10 (3): 348-361.
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6. McFadden D,. Conditional logit analysis of qualitative choice behaviour. In Frontiers of Econometrics, Zarembka P, (ed.). Academic Press: New York, 1974; 105-142.
7. Louviere JJ, Islam T, Wasi N, Street D, Burgess L,. Designing discrete choice experiments: do optimal designs come at a price? Journal of Consumer Research 2008; 35 (2): 360-375.