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Please use this identifier to cite or link to this item: https://ir.iimcal.ac.in:8443/jspui/handle/123456789/1299
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dc.contributor.authorBose, Mausumi
dc.contributor.authorMukerjee, Rahul
dc.date.accessioned2021-08-26T06:05:23Z-
dc.date.available2021-08-26T06:05:23Z-
dc.date.issued2018
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85029454321&doi=10.1016%2fj.jspi.2017.08.005&partnerID=40&md5=d361dbe91f4bbcb1a54817e65398a7ea
dc.identifier.urihttps://ir.iimcal.ac.in:8443/jspui/handle/123456789/1299-
dc.descriptionBose, Mausumi, Applied Statistics Division, Indian Statistical Institute, 203 B.T. Road, Kolkata, 700 108, India; Mukerjee, Rahul, Indian Institute of Management Calcutta, Joka, Diamond Harbour Road, Kolkata, 700 104, India
dc.descriptionISSN/ISBN - 03783758
dc.descriptionpp.109-116
dc.descriptionDOI - 10.1016/j.jspi.2017.08.005
dc.description.abstractWe propose a method for constructing a nested row�column design d0, involving a control treatment and v test treatments, starting from a Youden or Latin square T and an incomplete block design d. It is shown how the choice of T and d regulates the efficiency factors of d0. Special attention is given to the case when the v test treatments have a factorial structure, and for appropriately chosen d, an admissibility property of d0, among all comparable designs, is established. Illustrative examples are given. � 2017 Elsevier B.V.
dc.publisherSCOPUS
dc.publisherJournal of Statistical Planning and Inference
dc.publisherElsevier B.V.
dc.relation.ispartofseries193
dc.subjectAdmissibility
dc.subjectBalanced factorial experiment
dc.subjectBlock design
dc.subjectExtended group divisible design
dc.subjectLatin square
dc.subjectOrthogonal array
dc.subjectYouden square
dc.titleNear-factorial experiments in nested row–column designs regulating efficiencies
dc.typeArticle
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