Title: ‘The usefulness of Bayesian optimal designs for discrete choice experiments’ by Roselinde Kessels, Bradley Jones, Peter Goos and Martina Vandebroek
Abstract: Applied Stochastic Models in Business and IndustryVolume 27, Issue 3 p. 189-192 Discussion paper 'The usefulness of Bayesian optimal designs for discrete choice experiments' by Roselinde Kessels, Bradley Jones, Peter Goos and Martina Vandebroek Heinz Holling, Heinz Holling [email protected] Institute of Psychology, University of Muenster, Fliednerstr. 21, D-48149 Münster, GermanySearch for more papers by this authorRainer Schwabe, Rainer Schwabe Institute for Mathematical Stochastics, Otto von Guericke University Magdeburg, PF 4120, D-39016 Magdeburg, GermanySearch for more papers by this author Heinz Holling, Heinz Holling [email protected] Institute of Psychology, University of Muenster, Fliednerstr. 21, D-48149 Münster, GermanySearch for more papers by this authorRainer Schwabe, Rainer Schwabe Institute for Mathematical Stochastics, Otto von Guericke University Magdeburg, PF 4120, D-39016 Magdeburg, GermanySearch for more papers by this author First published: 29 June 2011 https://doi.org/10.1002/asmb.904Citations: 6Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onEmailFacebookTwitterLinkedInRedditWechat References 1 Sándor Z, Wedel M. Designing conjoint choice experiments using managers' prior beliefs. Journal of Marketing Research. 2001; 38: 430–444. 10.1509/jmkr.38.4.430.18904 Web of Science®Google Scholar 2 Kessels R, Jones B, Goos P, Vandebroek M. Recommendations on the use of Bayesian optimal designs for choice experiments. Quality and Reliability Engineering International. 2008; 24: 309–318. 10.1002/qre.953 Web of Science®Google Scholar 3 Grasshoff U, Holling H, Schwabe R. Optimal Designs for the Rasch Model (2010), 2010. Preprint Nr. 22/2010. Otto-von-Guericke-University Magdeburg, Faculty of Mathematics. Google Scholar 4 Atkinson AC, Donev AN, Tobias RD. Optimum Experimental Designs, with SAS, Oxford University Press: Oxford, 2007. 10.1093/oso/9780199296590.001.0001 Google Scholar 5 Chaloner K. A note on optimal Bayesian design for nonlinear problems. Journal of Statistical Planning and Inference. 1993; 37: 229–235. 10.1016/0378-3758(93)90091-J Web of Science®Google Scholar 6 Dette H, Neugebauer H-M. Bayesian optimal one point designs for one parameter nonlinear models. Journal of Statistical Planning and Inference. 1996; 52: 17–31. 10.1016/0378-3758(95)00104-2 Web of Science®Google Scholar 7 Grasshoff U, Grossmann H, Holling H, Schwabe R. Optimal design for discrete chocice experiments. Journal of Statistical Planning and Inference, (in press). Google Scholar 8 van der Linden WJ. Linear Models for Optimal Test Design, Springer: New York, 2005. 10.1007/0-387-29054-0 Google Scholar 9 Steffens K, Lupi F, Kanninen B, Hoehn J. 2002. Sequential updating approach to the experimental design of a binary choice model. Working Paper, Department of Agricultural Economics, Michigan State University. Google Scholar Citing Literature Volume27, Issue3May/June 2011Pages 189-192 ReferencesRelatedInformation
Publication Year: 2011
Publication Date: 2011-05-01
Language: en
Type: article
Indexed In: ['crossref']
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Cited By Count: 7
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