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均方误差准则下多响应线性模型的最优设计

The Optimal Design for Multi-response Linear Models Based on a Mean Squared Error Ccriterion
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摘要 WilliamJ.Welch(1983)给出了单响应线性模型均方误差准则下的最优试验设计。基于此结论,通过对多响应模型进行合理线性组合的方法将其转化为易于处理的单响应模型,由此给出均方误差准则下多响应模型最优设计的构造方法。解决了多响应线性模型预测的试验设计问题。 By William J.Welch(1983)a mean squared error criterion for optimal design of single-response linear model is given.Based on this result,the multi-response models are deal with by a linear combination to the responses for getting a manageable single-response model.Thus obtain the construction method of optimal design for multi-response linear models based on the mean squared error criterion.The optimal design problem for prediction of multi-response linear models is solved.
作者 张宣昊
出处 《科学技术与工程》 2010年第23期5705-5707,共3页 Science Technology and Engineering
关键词 多响应线性模型 最优设计 均方误差 线性组合 multi-response linear models optimal design mean squared error linear combination
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参考文献6

  • 1Welch W J.A mean squared error criterion for the design of experiments.Biometrika,1983;70:205-213.
  • 2Khuri A I.A test for lack of fit of a linear multiresponse model.Technometrics,1985;27:213-218.
  • 3张宣昊,岳荣先.均匀设计在多响应线性模型失拟检验中的最优性[J].上海师范大学学报(自然科学版),2007,36(2):12-16. 被引量:3
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  • 6张宣昊.多响应模型判别的试验设计[J].上海第二工业大学学报,2007,24(2):91-97. 被引量:2

二级参考文献12

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  • 10JONES E R, MITCHELL T J. Design criteria for detecting model inadequacy[J]. Biometdka, 1978, 65:541-551.

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