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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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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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The optimal design of blocked and split-plot experiments
Goos, Peter - 2001
Persistent link: https://www.econbiz.de/10001553332
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The usefulness of optimal design for generating blocked and split-plot response surface experiments
Goos, Peter (contributor) - 2005
Persistent link: https://www.econbiz.de/10003275915
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Order selection in finite mixtures of linear regressions
Depraetere, Nicolas; Vandebroek, Martina - 2011
Persistent link: https://www.econbiz.de/10009377345
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Orthogonalized regressors and spurious precision
Sercu, Piet (contributor); Vandebroek, Martina (contributor) - 2006
Persistent link: https://www.econbiz.de/10003611586
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Orthogonalized regressors and spurious precision, with an application to currency exposures
Liu, Fang; Sercu, Piet; Vandebroek, Martina - In: Journal of international money and finance 51 (2015), pp. 245-263
Persistent link: https://www.econbiz.de/10011475260
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The d-optimal design of blocked and split-plot experiments with mixture components
Goos, Peter; Donev, Alexander N. - 2003
Persistent link: https://www.econbiz.de/10001746152
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I-optimal versus D-optimal split-plot response surface designs
Jones, Bradley; Goos, Peter - 2012
Persistent link: https://www.econbiz.de/10009538523
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A candidate-set-free algorithm for generating D-optimal split-plot designs
Jones, Bradley (contributor); Goos, Peter (contributor) - 2006
Persistent link: https://www.econbiz.de/10003337452