Please use this identifier to cite or link to this item:
https://ir.iimcal.ac.in:8443/jspui/handle/123456789/1310
Title: | Two-level minimum aberration designs under a conditional model with a pair of conditional and conditioning factors |
Authors: | Mukerjee, Rahul Wu, Chien Fu Jeff Chang, Mingchung |
Keywords: | Bias Complementary set Effect hierarchy Model robustness Orthogonal array Regular design Universal optimality Wordlength pattern |
Issue Date: | 2017 |
Publisher: | SCOPUS Statistica Sinica Institute of Statistical Science |
Series/Report no.: | 27(3) |
Abstract: | Two-level factorial designs are considered under a conditional model with a pair of conditional and conditioning factors. Such a pair can arise in many practical situations. With properly defined main effects and interactions, an appropriate effect hierarchy is introduced under the conditional model. A complementary set theory as well as an efficient computational procedure, supported by a powerful recursion relation, are developed to implement the resulting design strategy, leading to minimum aberration designs. This calls for careful handling of many new and subtle features of the conditional model as compared to the traditional one. |
Description: | Mukerjee, Rahul, Indian Institute of Management Calcutta, Joka, Diamond Harbour Road, Kolkata, 700 104, India; Wu, Chien Fu Jeff, H. Milton Stewart School of Industrial and Systems Engineering, Georgia Institute of Technology, 755 Ferst Drive NW, Atlanta, GA 30332, United States; Chang, Mingchung, Institute of Statistical Science, Academia Sinica, 128 Academia Road, Section 2, Nankang, Taipei, 11529, Taiwan ISSN/ISBN - 10170405 pp.997-1016 DOI - 10.5705/ss.202015.0281 |
URI: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85020496836&doi=10.5705%2fss.202015.0281&partnerID=40&md5=bf837f100d34aab832eb24c1bc96513e https://ir.iimcal.ac.in:8443/jspui/handle/123456789/1310 |
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.