頁籤選單縮合
題 名 | Exploration of Bias in Experimental Design=探討模型偏誤於實驗設計階段相關影響之研究 |
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作 者 | 曾世賢; 陳曉瑩; | 書刊名 | 品質學報 |
卷 期 | 24:2 2017.04[民106.04] |
頁 次 | 頁92-111 |
分類號 | 494.56 |
關鍵詞 | 偏誤; 變異; 實驗設計; 貝氏估計; 最佳化設計; Bias; Variance; Design of experiment; Bayesian; Optimal designs; |
語 文 | 英文(English) |
英文摘要 | In 1959, George Box and other scientists became the first to study the effect of model misspecification errors or "bias" in experimental design. They found that bias has a far greater effect on accuracy than variance and that efforts to mitigate the effects of bias generally help with other errors, but not the reverse. The propose of this paper is to discuss the research attempts to mitigate the effects of bias at the planning stage of experimentation and what assumption methods are relevant to a new generation of planning and analytic techniques designed to mitigate these effects. Thus, we will review the definition of bias, assumptions about it, its effect, and several criteria for determining its presence that are used to obtain optimal designs and evaluate bias sensitivity, including irregularly shaped design regions. |
本系統中英文摘要資訊取自各篇刊載內容。