Description
Description of the data set: These data are collected with the aim to analyse the impact of the decision rule that is used when constructing the experimental design on the statistical efficiency of the design. It focusses on 2 decision rules: Random Utility Maximisation (RUM) and Random Regret Minimisation (RRM). Each respondents in the data set was presented 10 choice tasks. 4 choice tasks belong to a RUM efficient experimental design and 4 choice tasks belong to a RRM efficient experimental design. The RUM and RRM efficient designs have 1 choice task in common. Therefore there are 3 remaining choice tasks. These choice tasks are added with no particular decision rule in mind.
| Date made available | 9 Oct 2018 |
|---|---|
| Publisher | TU Delft - 4TU.ResearchData |
| Date of data production | 2018 - |
| Geographical coverage | The Netherlands (country) |
Research output
- 1 Article
-
On the robustness of efficient experimental designs towards the underlying decision rule
van Cranenburgh, S., Rose, J. M. & Chorus, C. G., 2018, In: Transportation Research Part A: Policy and Practice. 109, p. 50-64 15 p.Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile14 Link opens in a new tab Citations (Scopus)74 Downloads (Pure)
Cite this
- DataSetCite