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A model of ranked conjoint-data and implications for evaluation
Teichert, Thorsten - 1997
Persistent link: https://www.econbiz.de/10011735684
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A model of ranked conjoint-data and implications for evaluation
Teichert, Thorsten - 1997
This article examines basic features of ranked Conjoint-data, analyzes the adequacy of evaluation methods and proposes improvements for better utilizing the information provided by ranked data. It is shown that commonly used goodness-of-fit measures provide inadequate proxy measures for...
Persistent link: https://www.econbiz.de/10011745215
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Hierarchical bayes conjoint analysis : recovery of partworth heterogeneity from reduced experimental designs
Lenk, Peter J.; DeSarbo, Wayne; Green, Paul E.; Young, … - 2007
Persistent link: https://www.econbiz.de/10003541579
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Conjoint-Analyse von Automobildesign unter Berücksichtigung des hierarchischen Bayes-Verfahrens
Neibecker, Bruno; Kohler, Thomas; Steenhard, David - In: Quantitative Marketingforschung in Deutschland : …, (pp. 175-195). 2005
Persistent link: https://www.econbiz.de/10003289258
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Hierarchical bayes conjoint choice models : model framework, Bayesian inference, model selection, and interpretation of estimation results
Goeken, Nils; Kurz, Peter; Steiner, Winfried J. - In: Marketing : ZFP ; journal of research and management 43 (2021) 3, pp. 49-66
Persistent link: https://www.econbiz.de/10012817650
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Using hierarchical Bayes draws for improving shares of choice predictions in conjoint simulations : a study based on conjoint choice data
Hein, Maren; Goeken, Nils; Kurz, Peter; Steiner, Winfried J. - In: European journal of operational research : EJOR 297 (2022) 2, pp. 630-651
Persistent link: https://www.econbiz.de/10013259868
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Development of utility function for vehicle insurance : comparison of logarithmic goal programming method and conjoint analysis method
Natesan, Sumeetha R.; Dutta, Goutam - 2020
Persistent link: https://www.econbiz.de/10012694200
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Understanding students' preferences higher educational institutions : a conjoint analysis approach
Singh, Rajdeep; Kaur, Manpreet; Kaur, Prabhjot; Singh, … - In: Business analyst : a refereed journal of Shri Ram … 37 (2016) 1, pp. 197-216
Persistent link: https://www.econbiz.de/10011858726
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Gremlins in the data : identifying the information content of research subjects
Howell, John R.; Ebbes, Peter; Liechty, John; Jenkins, … - 2017
to the subject's utility function.In response to this problem, we introduce a mixture modeling framework which clusters …
Persistent link: https://www.econbiz.de/10011958593
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Ellipsoidal methods for adaptive choice-based conjoint analysis
Sauré, Denis; Vielma, Juan Pablo - In: Operations research 67 (2019) 2, pp. 315-338
Persistent link: https://www.econbiz.de/10012022351