Efficient three-level screening designs using weighing matrices

一般化 实验设计 数学 构造(python库) 班级(哲学) 数学优化 正交数组 Plackett–伯曼设计 组合设计 计算机科学 算法 组合数学 统计 人工智能 田口方法 数学分析 响应面法 程序设计语言
作者
S. Georgiou,Stella Stylianou,M.L. Aggarwal
出处
期刊:Statistics [Taylor & Francis]
卷期号:48 (4): 815-833 被引量:19
标识
DOI:10.1080/02331888.2012.760097
摘要

Screening is the first stage of many industrial experiments and is used to determine efficiently and effectively a small number of potential factors among a large number of factors which may affect a particular response. In a recent paper, Jones and Nachtsheim [A class of three-level designs for definitive screening in the presence of second-order effects. J. Qual. Technol. 2011;43:1–15] have given a class of three-level designs for screening in the presence of second-order effects using a variant of the coordinate exchange algorithm as it was given by Meyer and Nachtsheim [The coordinate-exchange algorithm for constructing exact optimal experimental designs. Technometrics 1995;37:60–69]. Xiao et al. [Constructing definitive screening designs using conference matrices. J. Qual. Technol. 2012;44:2–8] have used conference matrices to construct definitive screening designs with good properties. In this paper, we propose a method for the construction of efficient three-level screening designs based on weighing matrices and their complete foldover. This method can be considered as a generalization of the method proposed by Xiao et al. [Constructing definitive screening designs using conference matrices. J. Qual. Technol. 2012;44:2–8]. Many new orthogonal three-level screening designs are constructed and their properties are explored. These designs are highly D-efficient and provide uncorrelated estimates of main effects that are unbiased by any second-order effect. Our approach is relatively straightforward and no computer search is needed since our designs are constructed using known weighing matrices.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
1秒前
1秒前
ZLL完成签到,获得积分10
2秒前
风的味道发布了新的文献求助30
2秒前
科研通AI6.3应助自信青筠采纳,获得10
2秒前
xuan发布了新的文献求助10
5秒前
Lismart发布了新的文献求助10
5秒前
漂亮的花卷完成签到,获得积分10
6秒前
小虚心发布了新的文献求助10
6秒前
6秒前
6秒前
8秒前
9秒前
cqk123应助勤恳的饭饭采纳,获得10
9秒前
析界成微完成签到,获得积分10
9秒前
11秒前
xuan发布了新的文献求助10
11秒前
13秒前
心灵美老太完成签到,获得积分10
13秒前
科研副本发布了新的文献求助10
13秒前
13秒前
猫车高手完成签到,获得积分10
14秒前
un发布了新的文献求助10
14秒前
14秒前
呼呼不爱噜噜应助12121采纳,获得10
14秒前
英俊的铭应助绝世镜天采纳,获得10
15秒前
15秒前
白石人家应助尤寄风采纳,获得10
16秒前
17秒前
17秒前
urkk发布了新的文献求助20
17秒前
18秒前
xuan发布了新的文献求助10
18秒前
bkagyin应助小西贝采纳,获得10
18秒前
不羡发布了新的文献求助10
19秒前
wangbq发布了新的文献求助10
19秒前
Maribo完成签到,获得积分10
19秒前
George Will发布了新的文献求助10
20秒前
桐桐应助rrrr采纳,获得10
20秒前
高分求助中
Markov Chain Monte Carlo 10000
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Common Foundations of American and East Asian Modernisation: From Alexander Hamilton to Junichero Koizumi 5000
Pediatric Dermoscopy Trichoscopy & Onychoscopy 2030
Matrix Methods in Data Mining and Pattern Recognition Second Edition 610
Handbuch Trainingswissenschaft – Trainingslehre 500
Additive Manufacturing Design and Applications (ASM Handbook, Volume 24A) 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7576153
求助须知:如何正确求助?哪些是违规求助? 9155745
关于积分的说明 19586634
捐赠科研通 7160259
什么是DOI,文献DOI怎么找? 3264915
关于科研通互助平台的介绍 2430082
邀请新用户注册赠送积分活动 2255502