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http://ir.futminna.edu.ng:8080/jspui/handle/123456789/7148
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DC Field | Value | Language |
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dc.contributor.author | Unna Chukwu, Angela | - |
dc.contributor.author | Yakubu, Yisa | - |
dc.contributor.author | Bamiduro, Timothy Adebayo | - |
dc.contributor.author | Amahia, Godwin Nwonzo | - |
dc.date.accessioned | 2021-07-07T16:09:45Z | - |
dc.date.available | 2021-07-07T16:09:45Z | - |
dc.date.issued | 2013-11 | - |
dc.identifier.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 | en_US |
dc.identifier.uri | http://repository.futminna.edu.ng:8080/jspui/handle/123456789/7148 | - |
dc.description.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. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Pacific Journal of Science and Technology, Akamai University, Hilo, Hawaii. | en_US |
dc.subject | Split-plot response surface designs | en_US |
dc.subject | robust designs, | en_US |
dc.subject | Minimaxloss criterion | en_US |
dc.subject | within-whole plot correlation | en_US |
dc.subject | missing observation | en_US |
dc.title | Robustness of Split-plot Central Composite Designs in the Presence of a Single Missing Observation. | en_US |
dc.type | Article | en_US |
Appears in Collections: | Statistics |
Files in This Item:
File | Description | Size | Format | |
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PJST14_2_194.pdf | 921.05 kB | Adobe PDF | View/Open |
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