OPTIMAL DESIGNS FOR 2 k PAIRED COMPARISON EXPERIMENTS

By Deborah J. Street, D. Bunch, B. J. Moore. 2001

85 citations recorded by the source corpus.

Subfields: Computational Theory and Mathematics, Management of Technology and Innovation, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/063105bd2e91bf5828dcb7e435bddc0e345f026d

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In Computational Theory and Mathematics

In Management of Technology and Innovation

In Management Science and Operations Research

Citations in the corpus

What You Don’t Know Might Hurt You: Some Unresolved Issues in the Design and Analysis of Discrete Choice Experiments (2006, methodology): “Statistical design theory now exists to optimize the efficiency of designs for generic conditional logit models, and alternative–specific conditional logit models (see e.g., Burgess and Street 2003, 2005a, b; Street and Burgess 2004; Street et al. 2001, 2005, forthcoming ).”
A Comparison of Criteria to Design Efficient Choice Experiments (2006, methodology): “The results for D-optimal paired comparison designs for two-level attributes have been described in the work of Street, Bunch, and Moore (2001) and Street and Burgess (2004) and references therein.”
Households’ Willingness to Pay for Water Service Attributes (2005, unknown): “The description follows Revelt and Train (1998), to which the reader is referred for greater detail.”
Dissecting the Random Component of Utility (2002, background): “Severin varied design efficiency by varying the number of attribute level differences between pairs of options based on results in Street, Bunch and Moore (2001) , who showed that statistical efficiency is a function of numbers of attribute level differences (see also Burgess and Street 2001).”
Constructing Efficient Stated Choice Experimental Designs (2009, background): “As well as maintaining orthogonality, these researchers suggest that SC experiments should be constructed such that attributes common across alternatives should never take the same level over the experiment (see, e.g. Street et al., 2001, 2005; Street and Burgess, 2004; Burgess and Street, 2005).”
Approximation of bayesian efficiency in experimental choice designs (2008, unknown): “In the first approach, researchers have made the strong assumption that all parameter priors for the design are simultaneously equal to zero (e.g., Burgess and Street 2003; Huber and Zwerina 1996; Street and Burgess 2004; Street et al. 2001).”
Heterogeneous Conjoint Choice Designs (2005, background): “Recent work in statistics has focused on the development of globally optimal designs for certain choice models (Burgess and Street 2003; Street, Bunch, and Moore 2001; Street and Burgess 2004).”
Optimal paired comparison designs for first-order interactions (2003, background): “The two-level situation has been thoroughly investigated by van Berkum (1987) and Street et al. (2001) in the special case of a full profile when all components are presented to the judges simultaneously.”
Optimal Designs for 2 k Choice Experiments (2003, methodology): “This is the model considered in Street et al. (2001).”