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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
Saved in:
2
A comparison of two-stage segmentation : methods for choice-based conjoint data ; a simulation study
Crabbe, Marjolein
;
Jones, Bradley
;
Vandebroek, Martina
-
2011
Persistent link: https://www.econbiz.de/10009010181
Saved in:
3
Effect of choice complexity on design efficiency in conjoint choice experiments
Danthurebandara, Vishva Manohara
;
Yu, Jie
;
Vandebroek, …
-
2010
Persistent link: https://www.econbiz.de/10008989151
Saved in:
4
Optimal two-level conjoint designs for large numbers of attributes
Kessels, Roselinde
(
contributor
);
Goos, Peter
(
contributor
); …
-
2006
Persistent link: https://www.econbiz.de/10003618060
Saved in:
5
An efficient algorithm for constructing Bayesian optimal choice designs
Kessels, Roselinde
;
Jones, Bradley
;
Goos, Peter
; …
-
2006
Persistent link: https://www.econbiz.de/10003618071
Saved in:
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
Saved in:
7
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
Saved in:
8
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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9
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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10
Volatility spillovers and heavy tails : a large t-Vector AutoRegressive approach
Barbaglia, Luca
;
Croux, Christophe
;
Wilms, Ines
-
2017
Persistent link: https://www.econbiz.de/10011799030
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