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A hierarchical Bayesian approa...
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ECONIS (ZBW)
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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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Models and optimal designs for conjoint choice experiments including a no-choice option
Vermeulen, Bart
(
contributor
);
Goos, Peter
(
contributor
); …
-
2007
Persistent link: https://www.econbiz.de/10003621822
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3
Efficient conjoint choice designs in the presence of respondent heterogeneity
Yu, Jie
(
contributor
);
Goos, Peter
(
contributor
); …
-
2007
Persistent link: https://www.econbiz.de/10003624525
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4
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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5
Optimal two-level conjoint designs for large numbers of attributes
Kessels, Roselinde
(
contributor
);
Goos, Peter
(
contributor
); …
-
2006
Persistent link: https://www.econbiz.de/10003618060
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6
Recommendations on the use of Bayesian optimal designs for choice experiments
Kessels, Roselinde
;
Jones, Bradley
;
Goos, Peter
; …
-
2006
Persistent link: https://www.econbiz.de/10003618075
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7
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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8
Design criteria to develop choice experiments to measure the WTP accurately
Vermeulen, Bart
;
Goos, Peter
;
Scarpa, Riccardo
; …
-
2008
Persistent link: https://www.econbiz.de/10003977325
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9
A comparison of different Bayesian design criteria to compute efficient conjoint choice experiments
Yu, Jie
;
Goos, Peter
;
Vandebroek, Martina
-
2008
Persistent link: https://www.econbiz.de/10003977597
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10
An efficient algorithm for constructing Bayesian optimal choice designs
Kessels, Roselinde
;
Jones, Bradley
;
Goos, Peter
; …
-
2006
Persistent link: https://www.econbiz.de/10003618071
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