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DC Field | Value | Language |
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dc.contributor.author | Huda, Shahariar | |
dc.contributor.author | Mukerjee, Rahul | |
dc.date.accessioned | 2021-08-26T06:05:27Z | - |
dc.date.available | 2021-08-26T06:05:27Z | - |
dc.date.issued | 2013 | |
dc.identifier.uri | https://www.scopus.com/inward/record.uri?eid=2-s2.0-84883309910&doi=10.1016%2fj.jspi.2013.07.013&partnerID=40&md5=c279a2b1cbf12a6fe8626105ed4d3c2c | |
dc.identifier.uri | https://ir.iimcal.ac.in:8443/jspui/handle/123456789/1361 | - |
dc.description | Huda, Shahariar, Department of Statistics, Faculty of Science, Kuwait University, P.O. Box-5969, Safat-13060, Kuwait; Mukerjee, Rahul, Indian Institute of Management Calcutta, Kolkata 700 104, India | |
dc.description | ISSN/ISBN - 03783758 | |
dc.description | pp.1872-1879 | |
dc.description | DOI - 10.1016/j.jspi.2013.07.013 | |
dc.description.abstract | For two-level factorials, we consider designs in N=2 (mod 4) runs as obtained by adding two runs, with a certain coincidence pattern, to an orthogonal array of strength two. These designs are known to be optimal main effect plans in a very broad sense in the absence of interactions. Among them, we explore the ones having minimum aberration, with a view to ensuring maximum model robustness even when interactions are possibly present. This is done by sequentially minimizing a measure of the bias caused by interactions of successively higher orders. � 2013 Elsevier B.V. | |
dc.publisher | SCOPUS | |
dc.publisher | Journal of Statistical Planning and Inference | |
dc.relation.ispartofseries | 143(11) | |
dc.subject | Bias | |
dc.subject | Effect hierarchy | |
dc.subject | Hadamard matrix | |
dc.subject | Nonorthogonality | |
dc.subject | Orthogonal array | |
dc.title | Two-level minimum aberration designs in N =2 (mod 4) runs | |
dc.type | Article | |
Appears in Collections: | Operations Management |
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