Please use this identifier to cite or link to this item:
Full metadata record
DC FieldValueLanguage
dc.contributor.authorMukerjee, Rahul
dc.contributor.authorHuda, Shahariar
dc.descriptionMukerjee, Rahul, Indian Institute of Management Calcutta, Joka, Diamond Harbour Road, Kolkata, 700 104, India; Huda, Shahariar, Department of Statistics and OR, Faculty of Science, Kuwait University, P.O. Box-5969, Safat, 13060, Kuwait
dc.descriptionISSN/ISBN - 00203157
dc.descriptionDOI - 10.1007/s10463-015-0509-x
dc.description.abstractWith reference to a baseline parametrization, we explore highly efficient, fractional factorial designs for inference on the main effects and, perhaps, some interactions. Our tools include approximate theory together with certain, carefully devised discretization procedures. The robustness of these designs to possible model misspecification is investigated using a minimaxity approach. Examples are given to demonstrate that our technique works well even when the run size is quite small. � 2015, The Institute of Statistical Mathematics, Tokyo.
dc.publisherAnnals of the Institute of Statistical Mathematics
dc.publisherSpringer-Verlag Tokyo
dc.subjectBinary design
dc.subjectModel misspecification
dc.titleApproximate theory-aided robust efficient factorial fractions under baseline parametrization
Appears in Collections:Operations Management

Files in This Item:
There are no files associated with this item.

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.