Studying the level-effect in conjoint analysis: An application of efficient experimental designs for hyper-parameter estimation
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DOI: 10.1007/s11129-008-9045-9
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References listed on IDEAS
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- Cong Han & Kathryn Chaloner, 2004. "Bayesian Experimental Design for Nonlinear Mixed-Effects Models with Application to HIV Dynamics," Biometrics, The International Biometric Society, vol. 60(1), pages 25-33, March.
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Cited by:
- Katharina Keller & Christian Schlereth & Oliver Hinz, 2021. "Sample-based longitudinal discrete choice experiments: preferences for electric vehicles over time," Journal of the Academy of Marketing Science, Springer, vol. 49(3), pages 482-500, May.
- Schoenwitz, Manuel & Potter, Andrew & Gosling, Jonathan & Naim, Mohamed, 2017. "Product, process and customer preference alignment in prefabricated house building," International Journal of Production Economics, Elsevier, vol. 183(PA), pages 79-90.
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More about this item
Keywords
Hierarchical Bayes; Conjoint; Level effect; C11; C31; M31;All these keywords.
JEL classification:
- C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
- C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
- M31 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Marketing and Advertising - - - Marketing
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