Please use this identifier to cite or link to this item: http://ir.futminna.edu.ng:8080/jspui/handle/123456789/7148
Title: Robustness of Split-plot Central Composite Designs in the Presence of a Single Missing Observation.
Authors: Unna Chukwu, Angela
Yakubu, Yisa
Bamiduro, Timothy Adebayo
Amahia, Godwin Nwonzo
Keywords: Split-plot response surface designs
robust designs,
Minimaxloss criterion
within-whole plot correlation
missing observation
Issue Date: Nov-2013
Publisher: Pacific Journal of Science and Technology, Akamai University, Hilo, Hawaii.
Citation: Unna 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), 194-211
Abstract: In 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.
URI: http://repository.futminna.edu.ng:8080/jspui/handle/123456789/7148
Appears in Collections:Statistics

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