Bayesian D-Optimal Choice Designs for Mixtures
Copyright policy )Bayesian D-Optimal Choice Designs for Mixtures
SummaryConsumer products and services can often be described as mixtures of ingredients. Examples are the mixture of ingredients in a cocktail and the mixture of different components of travel time (e.g. in-vehicle and out-of-vehicle travel time) in a transportation setting. Choice experiments may help to determine how the respondent's choice of a product or service is affected by the combination of ingredients. In such experiments, individuals are confronted with sets of hypothetical products or services and they are asked to choose the most preferred product or service from each set. However, there are no studies on the optimal design of choice experiments involving mixtures. We propose a method for generating optimal designs for such choice experiments and demonstrate the large increase in statistical efficiency that can be obtained by using an optimal design.
- KU Leuven Belgium
- Management Research Institute United States
- Katholieke Universiteit Leuven (DistriNet- iMINDS) Belgium
- Erasmus Research Institute of Management
- Katholieke Universiteit Leuven Belgium
Optimal design, experimental design, Statistics & Probability, mixture co-ordinate exchange algorithm, mixture experiment, Bayesian design, Applications of statistics, choice experiment, Choice experiment, C90, Mixture experiment, Mixture coordinate-exchange algorithm, ALGORITHM, C10, C99, multinomial logit model, Bayesian design, Choice experiments, D-optimality, Experimental design, Mixture coordinate-exchange algorithm, Mixture experiment, Multinomial logit model, Optimal design, D-optimality, Science & Technology, particle swarm optimization, ddc:330, Choice experiments, Particle swarm optimization, 0104 Statistics, Multinomial logit model, Experimental design, PAIRED COMPARISONS, C61, C83, 4905 Statistics, Physical Sciences, C25, Mixture co-ordinate exchange algorithm, Mathematics, C01, jel: jel:C61, jel: jel:C83, jel: jel:C01, jel: jel:C25, jel: jel:C90, jel: jel:C10, jel: jel:C99
Optimal design, experimental design, Statistics & Probability, mixture co-ordinate exchange algorithm, mixture experiment, Bayesian design, Applications of statistics, choice experiment, Choice experiment, C90, Mixture experiment, Mixture coordinate-exchange algorithm, ALGORITHM, C10, C99, multinomial logit model, Bayesian design, Choice experiments, D-optimality, Experimental design, Mixture coordinate-exchange algorithm, Mixture experiment, Multinomial logit model, Optimal design, D-optimality, Science & Technology, particle swarm optimization, ddc:330, Choice experiments, Particle swarm optimization, 0104 Statistics, Multinomial logit model, Experimental design, PAIRED COMPARISONS, C61, C83, 4905 Statistics, Physical Sciences, C25, Mixture co-ordinate exchange algorithm, Mathematics, C01, jel: jel:C61, jel: jel:C83, jel: jel:C01, jel: jel:C25, jel: jel:C90, jel: jel:C10, jel: jel:C99
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