Bayesian D-Optimal Choice Designs for Mixtures
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- Zijlstra, Toon & Goos, Peter & Verhetsel, Ann, 2019. "A mixture-amount stated preference study on the mobility budget," Transportation Research Part A: Policy and Practice, Elsevier, vol. 126(C), pages 230-246.
More about this item
KeywordsBayesian design; Choice experiments; D-optimality; Experimental design; Mixture coordinate-exchange algorithm; Mixture experiment; Multinomial logit model; Optimal design;
- C01 - Mathematical and Quantitative Methods - - General - - - Econometrics
- C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - General
- C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities
- C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
- C83 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Survey Methods; Sampling Methods
- C90 - Mathematical and Quantitative Methods - - Design of Experiments - - - General
- C99 - Mathematical and Quantitative Methods - - Design of Experiments - - - Other
NEP fieldsThis paper has been announced in the following NEP Reports:
- NEP-DCM-2014-07-13 (Discrete Choice Models)
- NEP-DCM-2014-11-12 (Discrete Choice Models)
- NEP-DCM-2015-04-25 (Discrete Choice Models)
- NEP-ECM-2014-07-13 (Econometrics)
- NEP-ECM-2014-11-12 (Econometrics)
- NEP-ECM-2015-04-25 (Econometrics)
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