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    Please use this identifier to cite or link to this item: http://ir.nhri.org.tw/handle/3990099045/1795


    Title: Some new three-level orthogonal main effects plans robust to model uncertainty
    Authors: Tsai, PW;Gilmour, SG;Mead, R
    Contributors: Division of Biostatistics and Bioinformatics
    Abstract: In this paper, we list some new orthogonal main effects plans for three-level designs for 4, 5 and 6 factors in IS runs and compare them with designs obtained from the existing L-18 orthogonal array. We show that these new designs have better projection properties and can provide better parameter estimates for a range of possible models. Additionally, we study designs in other smaller run-sizes when there are insufficient resources to perform an 18-run experiment. Plans for three-level designs for 4, 5 and 6 factors in 13 to 17 runs axe given. We show that the best designs here are efficient and deserve strong consideration in many practical situations.
    Keywords: Statistics & Probability
    Date: 2004-10
    Relation: Statistica Sinica. 2004 Oct;14(4):1075-1084.
    Link to: http://www3.stat.sinica.edu.tw/statistica/J14N4/J14N45/J14N45.html
    JIF/Ranking 2023: http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=NHRI&SrcApp=NHRI_IR&KeyISSN=1017-0405&DestApp=IC2JCR
    Cited Times(WOS): https://www.webofscience.com/wos/woscc/full-record/WOS:000225094500005
    Cited Times(Scopus): http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=12344310096
    Appears in Collections:[蔡碧紋(2004-2006)] 期刊論文

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