亲爱的研友该休息了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!身体可是革命的本钱,早点休息,好梦!

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
2秒前
3秒前
嗜蛋黄小怪布丁完成签到,获得积分10
5秒前
6秒前
张宏磊发布了新的文献求助10
6秒前
7秒前
9秒前
科研通AI6.4应助Andrew采纳,获得10
14秒前
黄羡安发布了新的文献求助10
17秒前
崴Jio辣子面完成签到,获得积分10
17秒前
吃了吃了完成签到,获得积分10
19秒前
SciGPT应助张宏磊采纳,获得10
22秒前
qianru发布了新的文献求助10
22秒前
22秒前
何同学完成签到,获得积分10
23秒前
24秒前
Sunvo完成签到,获得积分10
26秒前
29秒前
Beto发布了新的文献求助10
29秒前
Jasper应助科研通管家采纳,获得10
30秒前
上官若男应助科研通管家采纳,获得100
30秒前
葱葱完成签到,获得积分10
30秒前
大模型应助Beto采纳,获得10
43秒前
向恬完成签到,获得积分20
43秒前
51秒前
香妃发布了新的文献求助10
56秒前
56秒前
科研通AI6.4应助qianru采纳,获得10
1分钟前
唐某人完成签到,获得积分10
1分钟前
1分钟前
唐某人发布了新的文献求助10
1分钟前
年轻乘云发布了新的文献求助10
1分钟前
lijunliang完成签到,获得积分10
1分钟前
学术文献互助应助外向大楚采纳,获得100
1分钟前
科研通AI2S应助洋芋心采纳,获得10
1分钟前
1分钟前
1分钟前
洋芋心给洋芋心的求助进行了留言
1分钟前
1分钟前
qianru发布了新的文献求助10
1分钟前
高分求助中
卤化钙钛矿人工突触的研究 2000
Malcolm Fraser : a biography 700
Signals, Systems, and Signal Processing 610
Software that combines deep learning,3D reconstruction and CFD to analyze the state of carotid arteries from ultrasound imaging 500
Bounds for Statistical Estimation in Semiparametric Models 500
Forced degradation and stability indicating LC method for Letrozole: A stress testing guide 500
Ideology and Meaning-Making under the Putin Regime 450
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 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6495668
求助须知:如何正确求助?哪些是违规求助? 8292421
关于积分的说明 17694768
捐赠科研通 5589685
什么是DOI,文献DOI怎么找? 2916601
邀请新用户注册赠送积分活动 1893478
关于科研通互助平台的介绍 1752953