嵌套强正交阵列

IF 1.2 3区 数学 Q2 STATISTICS & PROBABILITY Statistical Papers Pub Date : 2024-09-16 DOI:10.1007/s00362-024-01609-2
Chunwei Zheng, Wenlong Li, Jian-Feng Yang
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引用次数: 0

摘要

嵌套空间填充设计是进行不同精度的多重计算机实验的常用方法。强正交阵列(SOA)是一种特殊的空间填充设计,它拥有极具吸引力的低维分层。结合这两种设计,我们提出了一种名为嵌套强正交阵列的新型设计。这种设计是一种特殊的嵌套空间填充设计,由两层组成,即大 SOA 和小 SOA,它们具有不同的强度,小 SOA 嵌套在大 SOA 中。与现有的二维嵌套式空间填充设计相比,所提出的构建方法易于使用,能够容纳更多的柱子,而且所产生的设计具有更好的分层效果。该构造方法基于规则二阶饱和设计和非规则设计。与现有的嵌套空间填充设计进行了一些比较,以显示拟议设计的实用性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Nested strong orthogonal arrays

Nested space-filling designs are popular for conducting multiple computer experiments with different levels of accuracy. Strong orthogonal arrays (SOAs) are a special type of space-filling designs which possess attractive low-dimensional stratifications. Combining these two kinds of designs, we propose a new type of design called a nested strong orthogonal array. Such a design is a special nested space-filling design that consists of two layers, i.e., the large SOA and the small SOA, where they enjoy different strengths, and the small one is nested in the large one. The proposed construction method is easy to use, capable of accommodating a larger number of columns, and the resulting designs possess better stratifications than the existing nested space-filling designs in two dimensions. The construction method is based on regular second order saturated designs and nonregular designs. Some comparisons with the existing nested space-filling designs are given to show the usefulness of the proposed designs.

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来源期刊
Statistical Papers
Statistical Papers 数学-统计学与概率论
CiteScore
2.80
自引率
7.70%
发文量
95
审稿时长
6-12 weeks
期刊介绍: The journal Statistical Papers addresses itself to all persons and organizations that have to deal with statistical methods in their own field of work. It attempts to provide a forum for the presentation and critical assessment of statistical methods, in particular for the discussion of their methodological foundations as well as their potential applications. Methods that have broad applications will be preferred. However, special attention is given to those statistical methods which are relevant to the economic and social sciences. In addition to original research papers, readers will find survey articles, short notes, reports on statistical software, problem section, and book reviews.
期刊最新文献
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