一类具有低维分层和柱正交性的空间填充设计

IF 0.8 4区 数学 Q3 STATISTICS & PROBABILITY
Pengnan Li, Fasheng Sun
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引用次数: 0

摘要

强正交阵列适合计算机实验设计,因为它在低维投影中具有分层作用。然而,对于中等数量的因子来说,强正交阵列可能非常昂贵。在本文中,我们开发了一种方法,用于构建运行规模更经济的空间填充设计。这些设计不仅具有列正交性,而且还具有强正交阵列所应具有的大量低维分层特性。此外,所提出的一类设计可以是 3 正交的。此外,作为副产品,还获得了一些关于正则分数阶乘设计的理论结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A class of space-filling designs with low-dimensional stratification and column orthogonality

Strong orthogonal arrays are suitable designs for computer experiments because of stratification in low-dimensional projections. However, strong orthogonal arrays may be very expensive for a moderate number of factors. In this article, we develop a method for constructing space-filling designs with more economical run sizes. These designs are not only column-orthogonal but also enjoy a large proportion of low-dimensional stratification properties that strong orthogonal arrays ought to have. Moreover, a class of proposed designs can be 3-orthogonal. In addition, some theoretical results on regular fractional factorial designs are obtained as a by-product.

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来源期刊
CiteScore
1.40
自引率
0.00%
发文量
62
审稿时长
>12 weeks
期刊介绍: The Canadian Journal of Statistics is the official journal of the Statistical Society of Canada. It has a reputation internationally as an excellent journal. The editorial board is comprised of statistical scientists with applied, computational, methodological, theoretical and probabilistic interests. Their role is to ensure that the journal continues to provide an international forum for the discipline of Statistics. The journal seeks papers making broad points of interest to many readers, whereas papers making important points of more specific interest are better placed in more specialized journals. The levels of innovation and impact are key in the evaluation of submitted manuscripts.
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