Construction of Optimal Foldover Designs with the General Minimum Lower-Order Confounding
| dc.contributor.author | Atakora, Faisal | |
| dc.contributor.examiningcommittee | Mandal, Saumen (Statistics) Hao, Xuemiao (Warren Centre for Actuarial Studies and Research) | en_US |
| dc.contributor.supervisor | Yang, Po (Statistics) | en_US |
| dc.date.accessioned | 2016-09-09T15:43:43Z | |
| dc.date.available | 2016-09-09T15:43:43Z | |
| dc.date.issued | 2016 | |
| dc.degree.discipline | Statistics | en_US |
| dc.degree.level | Master of Science (M.Sc.) | en_US |
| dc.description.abstract | Fractional factorial designs are widely used in industry and agriculture. Over the years much research work has been done to study these designs. Foldover fractional factorial designs can de-alias effects of interest so that the effects can be estimated without ambiguities. We consider optimal foldover designs using general minimum lower-order confounding criterion. Some Properties of such designs are investigated. A catalogue of 16- and 32-run optimal foldover designs is constructed and tabulated for practical use. A comparison is made between the general minimum lower-order confounding optimal foldover designs and other optimal foldover designs obtained using minimum aberration and clear effect criteria. | en_US |
| dc.description.note | October 2016 | en_US |
| dc.identifier.uri | http://hdl.handle.net/1993/31660 | |
| dc.language.iso | eng | en_US |
| dc.rights | open access | en_US |
| dc.subject | Statistics | en_US |
| dc.title | Construction of Optimal Foldover Designs with the General Minimum Lower-Order Confounding | en_US |
| dc.type | master thesis | en_US |
| local.subject.manitoba | yes | en_US |