Please use this identifier to cite or link to this item: https://ir.iimcal.ac.in:8443/jspui/handle/123456789/1212
Title: Minimum aberration designs for two-level factorials in N = 1 (MOD 4) runs
Authors: Zhang, Runchu
Mukerjee, Rahul
Keywords: Augmentation
Bias
Effect hierarchy
Effect sparsity
Hadamard matrix
Interaction
Main effect
Minimum moment aberration
Nonorthogonality
Orthogonal array
Issue Date: 2013
Publisher: SCOPUS
Statistica Sinica
Series/Report no.: 23(2)
Abstract: Two-level minimum aberration (MA) designs in N = 1 (mod 4) runs are studied. For this purpose, we consider designs obtained by adding any single run to a two-symbol orthogonal array (OA) of strength two and then, among these designs, sequentially minimize a measure of bias due to interactions of successively higher orders. The reason for considering such OA plus one run designs is that they are optimal main effect plans in a very broad sense in the absence of interactions. Our approach aims at ensuring model robustness even when interactions are possibly present. It is shown that the MA criterion developed here has an equivalent formulation which is similar but not identical to the minimum moment aberration criterion. This formulation is utilized to derive theoretical results on and construct tables of MA designs in the present context.
Description: Zhang, Runchu, KLAS and School of Mathematics and Statistics, Northeast Normal University, Changchun 130024, China, Department of Statistics, University of British Columbia, Vancouver, BC, Canada, LPMC and School of Mathematical Sciences, Nankai University, Tianjin 300071, China; Mukerjee, Rahul, Indian Institute of Management Calcutta, Joka, Diamond Harbour Road, Kolkata 700 104, India
ISSN/ISBN - 10170405
pp.853-872
DOI - 10.5705/ss.2011.280
URI: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84883292047&doi=10.5705%2fss.2011.280&partnerID=40&md5=a00f405dbc89cd92c8849c65a961d835
https://ir.iimcal.ac.in:8443/jspui/handle/123456789/1212
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