Abstract
In this paper, we argue that some of the prior parameter distributions used in the literature for the construction of Bayesian optimal designs are internally inconsistent. We provide practical advice on how to properly specify the prior parameter distribution. Also, we present an example to illustrate that Bayesian optimal designs generally outperform utility‐neutral optimal designs that are based on linear design principles. Copyright (c) 2008 John Wiley & Sons, Ltd.
Original language | English |
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Pages (from-to) | 737-744 |
Number of pages | 8 |
Journal | Quality and Reliability Engineering International |
Volume | 24 |
Issue number | 6 |
DOIs | |
Publication status | Published - Oct 2008 |
Externally published | Yes |
Event | 7th Annual Meeting of the European Network of Business and Industrial Statistics - Dortmund, Germany Duration: 24 Sept 2007 → 26 Sept 2007 Conference number: 7 |
Keywords
- choice experiments
- Bayesian optimal designs
- prior Parameter distribution
- utility-neutral optimal designs