统计工程——第1部分:过去和现在

IF 1.3 4区 工程技术 Q4 ENGINEERING, INDUSTRIAL
C. Anderson‐Cook, Lu Lu, William Brenneman, J. De Mast, F. Faltin, Laura Freeman, W. Guthrie, R. Hoerl, Willis A. Jensen, Allison Jones-Farmer, Dennis Leber, Angela Patterson, M. Perry, S. Steiner, Nathaniel T. Stevens
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引用次数: 1

摘要

摘要自从Roger Hoerl和Ronald Snee引入统计工程十多年后,一组来自学术界、工业界和政府的领先应用统计学家应邀讨论了他们对所取得进展的看法、这一重要运动的现状、,以及在一系列两份小组讨论文件中,统计工程对未来的发展道路有何看法。在第一篇文章中,受邀的小组成员将重点讨论统计工程的过去和现在。他们讨论了显著的进展和目前阻碍进展的障碍。他们还考虑了统计工程的独特附加值,以及决策对知识体系的可能补充。文章的格式包括主持人提出的问题,所有小组成员的关键想法摘要,然后是个人的详细答案。这一系列文章的目标是激励统计学家考虑他们在推动采用统计工程来解决重要问题方面可能发挥的作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Statistical engineering – Part 1: Past and present
Abstract After more than a decade since the introduction of Statistical Engineering by Roger Hoerl and Ronald Snee, a group of leading applied statisticians from academia, industry, and government were invited to discuss their perspectives on progress made, the current status of this important movement, and what future Statistical Engineering holds on the path forward in a series of two panel discussion papers. In this first article, the invited panelists focus their discussion on the past and present of Statistical Engineering. They discuss notable advances and current obstacles to progress. They also consider the unique value added by Statistical Engineering, and the possible addition of decision making to the body of knowledge. The format of the article consists of the posed questions from the moderators, a summary of key ideas from all the panelists, and then the individual detailed answers. The goal of this series of articles is to inspire statisticians to consider their possible role to advance the adoption of Statistical Engineering to solve important problems.
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来源期刊
Quality Engineering
Quality Engineering ENGINEERING, INDUSTRIAL-STATISTICS & PROBABILITY
CiteScore
3.90
自引率
10.00%
发文量
52
审稿时长
>12 weeks
期刊介绍: Quality Engineering aims to promote a rich exchange among the quality engineering community by publishing papers that describe new engineering methods ready for immediate industrial application or examples of techniques uniquely employed. You are invited to submit manuscripts and application experiences that explore: Experimental engineering design and analysis Measurement system analysis in engineering Engineering process modelling Product and process optimization in engineering Quality control and process monitoring in engineering Engineering regression Reliability in engineering Response surface methodology in engineering Robust engineering parameter design Six Sigma method enhancement in engineering Statistical engineering Engineering test and evaluation techniques.
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