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首页> 外文期刊>Communications in Statistics - Simulation and Computation >Whole-Plot Exchange Algorithms for Constructing D-Optimal Multistratum Designs
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Whole-Plot Exchange Algorithms for Constructing D-Optimal Multistratum Designs

机译:用于构建D最优多层设计的全图交换算法

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摘要

Multistratum experiments contain several different sizes of experimental units. Examples include split-plot, strip-plot designs, and randomized block designs. We propose a strategy for constructing a D-optimal multistratum design by improving a randomly generated design through a sequence of whole-plot exchanges. This approach preserves the design structure and simplifies updates to the information and is applicable to any multistratum design where the largest-sized experimental unit is either a whole plot or a block. Two whole-plot exchange algorithms inspired by the point-exchange strategies of Fedorov (19727. Fedorov , V. V. ( 1972 ). Theory of Optimal Experiments . New York : Academic Press . View all references) and Wynn (197223. Wynn , H. P. ( 1972 ). Results in the theory and construction of D-optimum experimental designs . Journal of the Royal Statistical Society Series B Statistics Methodology 34 : 133 - 147 . [Web of Science ®]View all references) are described. The application of the algorithms to several design problems is discussed.
机译:多层实验包含几种不同大小的实验单元。示例包括分割图,带状图设计和随机块设计。我们提出了一种通过改进全图交换序列来随机生成设计来构建D最优多层设计的策略。这种方法可以保留设计结构并简化信息更新,并且适用于任何最大实验单元为整幅图或块图的多层设计。受Fedorov(19727. Fedorov,VV(1972)。最佳实验理论。纽约:学术出版社。查看所有参考文献)和Wynn(197223. Wynn,HP(1972)的点交换策略的启发,提出了两种全图交换算法。 )。D优化实验设计的理论和构造的结果,《皇家统计学会杂志》 B系列统计方法论34:133-147。[Web ofScience®]查看所有参考文献)。讨论了算法在几个设计问题中的应用。

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