Mixed-level designs with orthogonality and relatively optimal run order

IF 1.2 4区数学 Q2 STATISTICS & PROBABILITY

Journal of Applied Statistics Pub Date : 2024-01-05 DOI:10.1080/02664763.2023.2301323

Wenwen Hu, Zujun Ou, Qiao Peng

引用次数: 0

Abstract

Orthogonality and optimality of run order are two important and worthy to be considered criteria in design of experiment. For the mixed-level designs commonly used in the case of unequal levels of ...

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具有正交性和相对最优运行顺序的混合水平设计

正交性和运行顺序的最优性是实验设计中两个重要且值得考虑的标准。对于在不等水平的情况下常用的混合水平设计 ...

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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来源期刊

Journal of Applied Statistics 数学-统计学与概率论

CiteScore

3.40

自引率

0.00%

发文量

126

审稿时长

6 months

期刊介绍： Journal of Applied Statistics provides a forum for communication between both applied statisticians and users of applied statistical techniques across a wide range of disciplines. These areas include business, computing, economics, ecology, education, management, medicine, operational research and sociology, but papers from other areas are also considered. The editorial policy is to publish rigorous but clear and accessible papers on applied techniques. Purely theoretical papers are avoided but those on theoretical developments which clearly demonstrate significant applied potential are welcomed. Each paper is submitted to at least two independent referees.