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. / October 2016
| Identifer | oai:union.ndltd.org:MANITOBA/oai:mspace.lib.umanitoba.ca:1993/31660 |
| Date | 09 September 2016 |
| Creators | Atakora, Faisal |
| Contributors | Yang, Po (Statistics), Mandal, Saumen (Statistics) Hao, Xuemiao (Warren Centre for Actuarial Studies and Research) |
| Source Sets | University of Manitoba Canada |
| Detected Language | English |
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