Improving the efficiency of individualized designs for the mixed logit choice model by including covariates

DOI10.1016/j.csda.2011.12.015zbMath1243.62109OpenAlexW2023382204MaRDI QIDQ435009

M. Crabbe, Martina Vandebroek

Publication date: 16 July 2012

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://lirias.kuleuven.be/handle/123456789/322827

zbMATH Keywords

covariatediscrete choice experimenthierarchical Bayes estimationindividual efficient design

Mathematics Subject Classification ID

Cites Work

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• Marketing models of consumer heterogeneity
• Obtaining more information from conjoint experiments by best-worst choices
• A comparison of design and model selection methods for supersaturated experiments
• Model-Robust Design of Conjoint Choice Experiments
• Bayesian Computation with R
• Discrete Choice Methods with Simulation

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