Partial-profile choice designs for estimating main effects and interactions of two-level attributes from paired comparison data
Author:
Affiliation:
1. Otto-von-Guericke-Universität Magdeburg, Fakultät für Mathematik, Institut für Mathematische Stochastik, Magdeburg, Germany
Publisher
Springer Science and Business Media LLC
Subject
Statistics and Probability
Link
https://www.tandfonline.com/doi/pdf/10.1080/15598608.2016.1197868
Reference24 articles.
1. When Absence Begets Inference in Conjoint Analysis
2. Rank Analysis of Incomplete Block Designs: I. The Method of Paired Comparisons
3. A Learning-Based Model for Imputing Missing Levels in Partial Conjoint Profiles
4. Optimal Designs for 2kChoice Experiments
5. Optimal designs for choice experiments with asymmetric attributes
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1. Construction of symmetric paired choice experiments: minimising runs and maximising efficiency;Humanities and Social Sciences Communications;2023-10-03
2. On the design of paired comparison experiments with application;Research in Mathematics;2023-04-05
3. Masking data: a solution to social desirability bias in paired comparison experiments;Communications in Statistics - Simulation and Computation;2020-01-12
4. A practical approach to designing partial-profile choice experiments with two alternatives for estimating main effects and interactions of many two-level attributes;Journal of Choice Modelling;2019-09
5. Optimal Designs for Second-Order Interactions in Paired Comparison Experiments with Binary Attributes;Journal of Statistical Theory and Practice;2019-08-01
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