ROBUST SPLIT-PLOT DESIGNS FOR MODEL MISSPECIFICATION

来源 :上海交通大学 | 被引量 : 0次 | 上传用户：wanghldss

【摘要】

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【作者】

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Chang-Yun Lin

【机构】

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National Chung Hsing University,402,Taiwan

【出处】

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上海交通大学

【发表日期】

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2016年4期

【关键词】

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Anneal algorithm D-efficiency D-optimal minimax criterion Generalized least squa

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　　Many existing methods for constructing optimal split-plot designs,such as D-optimal designs,only focus on minimizing the variances and covariances of the estimation for the fitted model.However,the underlying true model is usually complicated and unknown and the fitted model is often misspecified.If there exist significant effects that are not included in the model,then the estimation could be highly biased.Therefore,a good split-plot designs should be able to simultaneously control the variances/covariances and the bias of the estimation.

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ROBUST SPLIT-PLOT DESIGNS FOR MODEL MISSPECIFICATION

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