书目名称 | Industrial Statistics | 副标题 | A Computer-Based App | 编辑 | Ron S. Kenett,Shelemyahu Zacks,Peter Gedeck | 视频video | | 概述 | Demonstrates how to incorporate Python into the industrial statistics curriculum.Includes over 40 case studies to facilitate experiential learning.An accompanying Python package is available for downl | 丛书名称 | Statistics for Industry, Technology, and Engineering | 图书封面 |  | 描述 | This innovative textbook presents material for a course on industrial statistics that incorporates Python as a pedagogical and practical resource. Drawing on many years of teaching and conducting research in various applied and industrial settings, the authors have carefully tailored the text to provide an ideal balance of theory and practical applications. Numerous examples and case studies are incorporated throughout, and comprehensive Python applications are illustrated in detail. A custom Python package is available for download, allowing students to reproduce these examples and explore others..The first chapters of the text focus on the basic tools and principles of process control, methods of statistical process control (SPC), and multivariate SPC. Next, the authors explore the design and analysis of experiments, quality control and the Quality by Design approach, computer experiments, and cyber manufacturing and digital twins. The text then goes on to cover reliability analysis, accelerated life testing, and Bayesian reliability estimation and prediction. A final chapter considers sampling techniques and measures of inspection effectiveness. Each chapter includes exercises, | 出版日期 | Textbook 2023 | 关键词 | Industrial statistics; Industry 4; 0; Process control and tracking; Multivariate process control; Quality | 版次 | 1 | doi | https://doi.org/10.1007/978-3-031-28482-3 | isbn_softcover | 978-3-031-28484-7 | isbn_ebook | 978-3-031-28482-3Series ISSN 2662-5555 Series E-ISSN 2662-5563 | issn_series | 2662-5555 | copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
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