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Multilevel augmented pairs second-order response surface designs and their robustness to missing data

Multilevel augmented pairs second-order response surface designs and their robustness to missing data
Multilevel augmented pairs second-order response surface designs and their robustness to missing data
Missing observations can occur even in a well-planned experiment. The effect of missing observations can be much more serious when the design is saturated or near saturated. The levels of factor settings that make a design more robust to missing observations are of great importance in the sense that the loss for missing observations becomes minimum. In this study, new augmented pairs minimax loss designs are constructed, which are more robust to one missing design point than the augmented pairs designs presented by Morris (2000). New designs are compared with augmented pairs designs, central composite designs, and small composite designs under generalized scaled standard deviations. The model used is also studied for the regression coefficient estimates.
augmented pairs designs, central composite designs, generalized scaled standard deviations, minimax loss designs, plackett-burman designs, small composite designs
0361-0926
437-452
Ahmad, Tanvir
1032be3f-ee0a-4985-9fa2-4d062e364423
Akhtar, Munir
fa0d18ff-37f1-4327-8439-5681b9d3e9ac
Gilmour, Steven G.
984dbefa-893b-444d-9aa2-5953cd1c8b03
Ahmad, Tanvir
1032be3f-ee0a-4985-9fa2-4d062e364423
Akhtar, Munir
fa0d18ff-37f1-4327-8439-5681b9d3e9ac
Gilmour, Steven G.
984dbefa-893b-444d-9aa2-5953cd1c8b03

Ahmad, Tanvir, Akhtar, Munir and Gilmour, Steven G. (2012) Multilevel augmented pairs second-order response surface designs and their robustness to missing data. Communications in Statistics: Theory and Methods, 41 (3), 437-452. (doi:10.1080/03610926.2010.513783).

Record type: Article

Abstract

Missing observations can occur even in a well-planned experiment. The effect of missing observations can be much more serious when the design is saturated or near saturated. The levels of factor settings that make a design more robust to missing observations are of great importance in the sense that the loss for missing observations becomes minimum. In this study, new augmented pairs minimax loss designs are constructed, which are more robust to one missing design point than the augmented pairs designs presented by Morris (2000). New designs are compared with augmented pairs designs, central composite designs, and small composite designs under generalized scaled standard deviations. The model used is also studied for the regression coefficient estimates.

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More information

Published date: 13 February 2012
Keywords: augmented pairs designs, central composite designs, generalized scaled standard deviations, minimax loss designs, plackett-burman designs, small composite designs
Organisations: Statistics

Identifiers

Local EPrints ID: 337610
URI: http://eprints.soton.ac.uk/id/eprint/337610
ISSN: 0361-0926
PURE UUID: 85441fab-7bc0-4af4-ad85-0c31b0cdf447

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Date deposited: 01 May 2012 10:19
Last modified: 14 Mar 2024 10:56

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Contributors

Author: Tanvir Ahmad
Author: Munir Akhtar
Author: Steven G. Gilmour

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