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Using Appropriate Prior Information to Eliminate Choice Sets with a Dominant Alternative from D-Efficient Designs
Author(s) -
Marjolein Crabbe,
Martina Vandebroek
Publication year - 2011
Publication title -
ssrn electronic journal
Language(s) - English
Resource type - Journals
ISSN - 1556-5068
DOI - 10.2139/ssrn.1846488
Subject(s) - choice set , dominance (genetics) , set (abstract data type) , rank (graph theory) , stochastic dominance , computer science , order (exchange) , bayesian probability , operations research , econometrics , mathematics , economics , artificial intelligence , biochemistry , chemistry , finance , combinatorics , gene , programming language
Most attributes in transportation studies, such as the travel time and the travel cost of a travel mode or road alternative, have a clear rank order in their attribute levels. Therefore one option in a choice set of an experimental design can dominate the other alternatives in the set. This research finds Bayesian D-efficient designs for a specific setup in the transportation field. It is shown that with a proper choice of prior information which adequately incorporates the dominance of lower attribute levels, no choice sets with a dominant alternative will be included in the efficient designs.

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