Decision analysis perspectives on sequential testing
| dc.contributor.advisor | Bickel, J. Eric | |
| dc.contributor.committeeMember | Hasenbein, John | |
| dc.creator | Stewart, Nathan Andrew | |
| dc.creator.orcid | 0000-0002-7840-2726 | |
| dc.date.accessioned | 2020-03-27T17:25:46Z | |
| dc.date.available | 2020-03-27T17:25:46Z | |
| dc.date.created | 2019-12 | |
| dc.date.issued | 2019-12 | |
| dc.date.submitted | December 2019 | |
| dc.date.updated | 2020-03-27T17:25:46Z | |
| dc.description.abstract | Expanding from proof-load testing, this paper utilizes a decision analysis framework to determine adequate bounds for how much one should be willing to pay to conduct testing when the load distribution of a device is uncertain. Optimal testing policy strategies are constructed and evaluated when sequentially testing a population of devices for given prior beliefs on the intrinsic toughness of the device. Heuristic extensions are analyzed to reduce computational time for practical use. | |
| dc.description.department | Operations Research and Industrial Engineering | |
| dc.format.mimetype | application/pdf | |
| dc.identifier.uri | https://hdl.handle.net/2152/80479 | |
| dc.identifier.uri | http://dx.doi.org/10.26153/tsw/7495 | |
| dc.language.iso | en | |
| dc.subject | Sequential testing | |
| dc.subject | Decision analysis | |
| dc.subject | Bayesian updating | |
| dc.subject | Markov decision process | |
| dc.title | Decision analysis perspectives on sequential testing | |
| dc.type | Thesis | |
| dc.type.material | text | |
| thesis.degree.department | Operations Research and Industrial Engineering | |
| thesis.degree.discipline | Operations Research and Industrial Engineering | |
| thesis.degree.grantor | The University of Texas at Austin | |
| thesis.degree.level | Masters | |
| thesis.degree.name | Master of Science in Engineering |