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    NCU Institutional Repository > 理學院 > 數學系 > 期刊論文 >  Item 987654321/109262


    請使用永久網址來引用或連結此文件: https://ir.lib.ncu.edu.tw/handle/987654321/109262


    題名: Optimal designs for quadratic regression with random block effects: The case of block size two
    作者: 黃世豪;Huang, Shih-Hao;Cheng, Ching-Shui
    貢獻者: 理學院數學系
    關鍵詞: [formula omitted]-optimality;Bayesian optimality;E-optimality;Essentially complete class;Robust design
    日期: 2016-08-01
    上傳時間: 2026-04-23 16:19:18 (UTC+8)
    出版者: Elsevier;Elsevier B.V
    摘要: 摘要: Optimal approximate designs for quadratic regression with random block effects in the case of block size two are considered. We obtain, with respect to the Schur ordering, an essentially complete class consisting of designs with a simple structure. The locally D- and A-optimal designs given in Cheng (1995a) and Atkins and Cheng (1999) belong to this class. We explicitly identify locally E-optimal designs and show that for each p, −∞≤p≤1, there is a unique ϕp-design in this class. Bayesian ϕp-optimal designs are also considered. •We obtain an essentially complete class of designs with a simple structure.•The class contains locally and Bayesian ϕp-optimal designs.•We present some highly efficient designs for arbitrary intra-block correlations.
    出版者: Elsevier B.V
    出版日期: 2016-08
    出處: Journal of statistical planning and inference, 2016-08, Vol.175, p.67-77
    資源來源: Elsevier ScienceDirect Journals Complete
    版權: 2016 Elsevier B.V.
    識別號: ISSN: 0378-3758
    識別號: EISSN: 1873-1171
    識別號: DOI: 10.1016/j.jspi.2016.02.008
    顯示於類別:[數學系] 期刊論文

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