Some new third order designs robust to one missing observation

Fareeha Rashid, Atif Akbar and Zahra Zafar

Communications in Statistics - Theory and Methods, 2019, vol. 48, issue 24, 6054-6062

Abstract: In real experimentation, we often face situations where observations are lost, ignored or unavailable due to some accident or high cost experiments. Missing observations can make the results of a response surface experiment quite misleading. Therefore minimaxloss designs for Augmented Box-Behnken Designs (ABBDs) and Augmented Fractional Box-Behnken Designs (AFBBDs) are formulated under a minimaxloss criterion. These minimaxloss designs are considered to be robust to one missing observation and the investigation has been made in this article. Then G-efficiencies and Relative D-efficiencies of minimaxloss ABBDs and AFBBDs have been discussed.

Date: 2019
References: Add references at CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1080/03610926.2018.1528362 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:taf:lstaxx:v:48:y:2019:i:24:p:6054-6062

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/lsta20

DOI: 10.1080/03610926.2018.1528362

Access Statistics for this article

Communications in Statistics - Theory and Methods is currently edited by Debbie Iscoe

More articles in Communications in Statistics - Theory and Methods from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().