简化Becker模型参数估计的D—最优正交区组设计  

The D-optimal Orthogonal Blocks Designs of Parameters' Estimation of The Simplified Becker Models

作　　者：苏晓明[1] 关颖男[2] 

机构地区：[1]沈阳工业大学,沈阳110021 [2]东北大学,沈阳110006

出　　处：《数理统计与应用概率》1996年第2期131-138,共8页

摘　　要：在含有过程变量的混料系统中,某些混料问题用通常采用的Scheff'e正则多项式[1]加过程变量来描述不够理想,为此,作者提出了简化Becker模型加过程变量模型,用此模型来描述一些问题。本文给出了三分量简化Becker模型(Ⅰ)和(Ⅱ)[9][1]加过程变量模型在两个正交区组上的D—最优试验设计,并且给出了这些结论的证明。.In the mixture system with process variables,it isn't ideal that the system is generally described by Scheff'e standard polynominal model with process variables. For this reason, the author presents the simplified Becker models with process variables and some problems are described by this modles.In this paper,the author gives the D-optimal experimental designs in the orthogonal blocks for 3-components simplified Becker models (I) and (II) with process variables and proof of these conclusions

关 键 词：Becker模型 参数估计 正交区组设计 

分 类 号：O212.6[理学—概率论与数理统计]