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首页> 外文期刊>International Journal of Probability and Statistics >The Effects of Addition of nc Center Points on the Optimality of Box-Benhken and Box-Wilson Second-Order Designs
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The Effects of Addition of nc Center Points on the Optimality of Box-Benhken and Box-Wilson Second-Order Designs

机译:n c 中心点相加对Box-Benhken和Box-Wilson二阶设计最优性的影响

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摘要

Relationships between optimal design properties and changing sizes of designs, by the addition of center points, are seen to be very strong between the Box-Benhken designs and the Box-Wilson designs defined at and Variations seem to exist with Box-Wilson designs defined at α = 1.0. In particular, the determinant values of the information matrices of the Box-Benhken designs generally decrease as increases. These are also true for all categories of the Box-Wilson designs. However, the minimum eigenvalue of the Box-Benhken design and the Box-Wilson design defined at and is maximized when and maximized when for the Box-Wilson design defined at α = 1.0. For the Box-Benhken designs considered, the trace values of the variance-covariance matrices generally decrease as increases. This is also true for the Box-Wilson designs defined at and For the Box-Wilson designs defined at α = 1.0, the trace values of the variance-covariance matrices increase as increases. The maximum scaled predictive variances associated with the Box-Benhken designs and the Box-Wilson designs generally increase as increases and minimized when for Box-Wilson design defined at and when for the Box-Benhken design and the Box-Wilson design defined at and The trace of information matrix associated with all considered design types consistently decreases as increases.
机译:在Box-Benhken设计与定义的Box-Wilson设计之间,通过添加中心点,最佳设计属性与设计变化尺寸之间的关系非常紧密,而Box-Wilson设计的定义似乎存在差异。 α= 1.0。特别地,Box-Benhken设计的信息矩阵的行列式值通常随着增加而减小。对于Box-Wilson设计的所有类别也是如此。但是,在定义为α= 1.0的Box-Wilson设计时,Box-Benhken设计和Box-Wilson设计的最小特征值最大化,当最大化。对于所考虑的Box-Benhken设计,方差-协方差矩阵的跟踪值通常随增加而减小。对于定义为和的Box-Wilson设计也是如此,对于定义为α= 1.0的Box-Wilson设计,方差-协方差矩阵的跟踪值会随着增加而增加。与Box-Benhken设计和Box-Wilson设计相关的最大比例预测方差通常会随着增加而增加,而对于于和定义于的Box-Benhken设计和Box-Wilson设计,则将其最小化。与所有考虑的设计类型相关的信息矩阵的踪迹随着增加而持续减少。

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