重读戴明在数据科学时代的14点:统计信息系统动态管理的14个问题

J. Eltinge
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引用次数: 0

摘要

本文基于在2018年联合统计会议上发表的戴明讲座,重新考虑了w·爱德华兹·戴明提出的关于管理的“14点”,并认为这些要点反映了基本概念和原则,可以为统计界提供重要的见解,因为它应对与提高统计信息的质量、完整性和社会价值相关的机遇和挑战。戴明14点的基本概念可以为考虑在许多复杂组织中出现的各种管理机会和挑战提供一个有用的视角,特别是那些产生或使用统计信息的组织。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Re-Reading Deming’s 14 Points in the Era of Data Science: 14 Questions for Vibrant Management of Statistical Information Systems
This article is based on the Deming Lecture presented at the 2018 Joint Statistical Meetings and reconsiders the "14 Points" on management that were developed by W. Edwards Deming and suggests that these points reflect fundamental concepts and principles that can offer important insights for the statistical community as it responds to these opportunities and challenges related to improvement of the quality, integrity, and societal value of statistical information. The concepts un-derlying Deming's 14 Points can provide a useful lens for considering a wide range of management opportunities and challenges that arise in many complex organizations, especially those that produce or use statistical information.
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