Please use this identifier to cite or link to this item: http://ir.futminna.edu.ng:8080/jspui/handle/123456789/7148
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dc.contributor.authorUnna Chukwu, Angela-
dc.contributor.authorYakubu, Yisa-
dc.contributor.authorBamiduro, Timothy Adebayo-
dc.contributor.authorAmahia, Godwin Nwonzo-
dc.date.accessioned2021-07-07T16:09:45Z-
dc.date.available2021-07-07T16:09:45Z-
dc.date.issued2013-11-
dc.identifier.citationUnna Chukwu A., Yakubu Y., Bamiduro T. A., & Amahia G. N. (2013). Robustness of Split-plot Central Composite Designs in the Presence of a Single Missing Observation, Pacific Journal of Science and Technology, http://www.akamaiuniversity.us/PJST.htm, Vol. 14(2), 194-211en_US
dc.identifier.urihttp://repository.futminna.edu.ng:8080/jspui/handle/123456789/7148-
dc.description.abstractIn this work, we present a Minimaxloss criterion, based on D-efficiency, and which accounts for the within-whole plot correlation among the observations, for constructing split-plot response surface designs that are robust to missing a single observation of the various design points. We then develop robust split-plot designs, which are relatively insensitive to a single missing observation. It was observed that the criterion is robust to changes in the degree of correlation among the observations but varies with changes in the number of whole-plot and subplot factors for a given k –factor design.en_US
dc.language.isoenen_US
dc.publisherPacific Journal of Science and Technology, Akamai University, Hilo, Hawaii.en_US
dc.subjectSplit-plot response surface designsen_US
dc.subjectrobust designs,en_US
dc.subjectMinimaxloss criterionen_US
dc.subjectwithin-whole plot correlationen_US
dc.subjectmissing observationen_US
dc.titleRobustness of Split-plot Central Composite Designs in the Presence of a Single Missing Observation.en_US
dc.typeArticleen_US
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