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Working Papers / Faculteit Toegepaste Economische Wetenschappen, Universiteit Antwerpen
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Optimal two-level conjoint designs for large numbers of attributes
Kessels, Roselinde
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contributor
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Goos, Peter
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contributor
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2006
Persistent link: https://www.econbiz.de/10003618060
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Recommendations on the use of Bayesian optimal designs for choice experiments
Kessels, Roselinde
;
Jones, Bradley
;
Goos, Peter
; …
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2006
Persistent link: https://www.econbiz.de/10003618075
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3
An efficient algorithm for constructing Bayesian optimal choice designs
Kessels, Roselinde
;
Jones, Bradley
;
Goos, Peter
; …
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2006
Persistent link: https://www.econbiz.de/10003618071
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4
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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5
Models and optimal designs for conjoint choice experiments including a no-choice option
Vermeulen, Bart
(
contributor
);
Goos, Peter
(
contributor
); …
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2007
Persistent link: https://www.econbiz.de/10003621822
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6
A hierarchical Bayesian approach to robust parameter design
Goegebeur, Yuri
(
contributor
);
Goos, Peter
(
contributor
); …
-
2007
Persistent link: https://www.econbiz.de/10003623807
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7
Efficient conjoint choice designs in the presence of respondent heterogeneity
Yu, Jie
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contributor
);
Goos, Peter
(
contributor
); …
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2007
Persistent link: https://www.econbiz.de/10003624525
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8
Rank-order conjoint experiments : efficiency and design
Vermeulen, Bart
(
contributor
);
Goos, Peter
(
contributor
); …
-
2007
Persistent link: https://www.econbiz.de/10003625829
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9
Efficient and robust willingness-to-pay designs for choice experiments : some evidence from simulations
Vermeulen, Bart
;
Goos, Peter
;
Scarpa, Riccardo
; …
-
2008
Persistent link: https://www.econbiz.de/10003976959
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Design criteria to develop choice experiments to measure the WTP accurately
Vermeulen, Bart
;
Goos, Peter
;
Scarpa, Riccardo
; …
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2008
Persistent link: https://www.econbiz.de/10003977325
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