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    NCU Institutional Repository > 理學院 > 數學系 > 期刊論文 >  Item 987654321/109276


    請使用永久網址來引用或連結此文件: https://ir.lib.ncu.edu.tw/handle/987654321/109276


    題名: Robust designs for probability estimation in binary response experiments
    作者: 黃世豪;Huang, Shih-Hao;Huang, Mong-Na Lo
    貢獻者: 理學院數學系
    關鍵詞: Compromise weight functions;Equal oscillation;Logit model;Minimax optimality;Model discrimination;Probit model;WB-optimum
    日期: 2014-01-01
    上傳時間: 2026-04-23 16:21:06 (UTC+8)
    出版者: Elsevier;Elsevier B.V
    摘要: 摘要: The purpose of this work is to investigate robust design problems for estimation of the response probability curve under binary response experiments with model uncertainty consideration. A minimax type of model robust design criterion, called WB-optimum in short is proposed, based on minimization of the maximum of the weighted squared probability bias function under two rival models. The corresponding design issues are investigated and results under the above design criterion for given rival models with several commonly seen symmetric links are presented.
    出版者: Elsevier B.V
    出版日期: 2014-11-01
    出處: Journal of statistical planning and inference, 2014-11, Vol.154, p.116-132
    資源來源: Elsevier ScienceDirect Journals Complete
    版權: 2013 Elsevier B.V.
    識別號: ISSN: 0378-3758
    識別號: EISSN: 1873-1171
    識別號: DOI: 10.1016/j.jspi.2013.12.001
    顯示於類別:[數學系] 期刊論文

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