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The optimal design of an experiment with blocks of size two for quadratic regression on one variable
Goos, Peter; Vandebroek, Martina - 2001
Persistent link: https://www.econbiz.de/10001594045
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Tailor-made split-plot experiments
Goos, Peter; Vandebroek, Martina - 2002
Persistent link: https://www.econbiz.de/10001655416
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Model-robust and model-sensitive designs
Goos, Peter; Kobilinsky, André; O'Brien, Timothy E.; … - 2002
Persistent link: https://www.econbiz.de/10001723134
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Optimal designs for rating-based conjoint experiments
Kessels, Roselinde; Goos, Peter; Vandebroek, Martina - 2004
Persistent link: https://www.econbiz.de/10002624077
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Efficiency of blocking two-stage model-robust and model-sensitive designs
Ruggoo, Arvind; Goos, Peter; Vandebroek, Martina - 2003
Persistent link: https://www.econbiz.de/10001895825
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Practical inference from industrial split-plot designs
Goos, Peter; Langhans, Ivan; Vandebroek, Martina - 2004
Persistent link: https://www.econbiz.de/10002035146
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Comparing algorithms and criteria for designing Bayesian conjoint choice experiments
Kessels, Roselinde; Goos, Peter; Vandebroek, Martina - 2004
Persistent link: https://www.econbiz.de/10002156052
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Comparing different sampling schemes for approximating the integrals involved in the semi-Bayesian optimal design of choice experiments
Yu, Jie; Goos, Peter; Vandebroek, Martina - 2008
Persistent link: https://www.econbiz.de/10003981800
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An efficient algorithm for constructing Bayesian optimal choice designs
Kessels, Roselinde; Jones, Bradley; Goos, Peter; … - In: Journal of business & economic statistics : JBES ; a … 27 (2009) 2, pp. 279-291
Persistent link: https://www.econbiz.de/10003885791
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Efficient conjoint choice designs in the presence of respondent heterogeneity
Yu, Jie (contributor); Goos, Peter (contributor);  … - 2007
Persistent link: https://www.econbiz.de/10003624525