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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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How to design highly informative and cost-efficient industrial experiments
Goos, Peter; Vandebroek, Martina - In: Tijdschrift voor economie en management 47 (2002) 4, pp. 537-556
Persistent link: https://www.econbiz.de/10001781122
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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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Estimating the intercept in an orthogonally blocked experiment when the block effects are random
Goos, Peter; Vandebroek, Martina - 2001
Persistent link: https://www.econbiz.de/10001633744
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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