International Recommendations for Industrial Statistics PDF Download
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Author: United Nations. Statistical Office
Publisher: United Nations Publications
ISBN: 9789211615111
Category : Political Science
Languages : en
Pages : 157
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Book Description
Author: United Nations. Statistical Office
Publisher: United Nations Publications
ISBN: 9789211615111
Category : Political Science
Languages : en
Pages : 157
Get Book Here
Book Description
Author: United States. Bureau of the Census
Publisher:
ISBN:
Category : Industrial statistics
Languages : en
Pages : 32
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Book Description
Author:
Publisher:
ISBN:
Category : Electronic journals
Languages : en
Pages : 308
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Book Description
Author: United States. Bureau of the Census
Publisher:
ISBN:
Category : Manufactures
Languages : en
Pages : 116
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Book Description
Author:
Publisher:
ISBN:
Category : Industrial statistics
Languages : en
Pages : 40
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Book Description
Author: Shelemyahu Zacks
Publisher: Springer Nature
ISBN: 3030394344
Category : Mathematics
Languages : en
Pages : 217
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Book Description
This monograph highlights the connection between the theoretical work done by research statisticians and the impact that work has on various industries. Drawing on decades of experience as an industry consultant, the author details how his contributions have had a lasting impact on the field of statistics as a whole. Aspiring statisticians and data scientists will be motivated to find practical applications for their knowledge, as they see how such work can yield breakthroughs in their field. Each chapter highlights a consulting position the author held that resulted in a significant contribution to statistical theory. Topics covered include tracking processes with change points, estimating common parameters, crossing fields with absorption points, military operations research, sampling surveys, stochastic visibility in random fields, reliability analysis, applied probability, and more. Notable advancements within each of these topics are presented by analyzing the problems facing various industries, and how solving those problems contributed to the development of the field. The Career of a Research Statistician is ideal for researchers, graduate students, or industry professionals working in statistics. It will be particularly useful for up-and-coming statisticians interested in the promising connection between academia and industry.
Author:
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Category : Clothing trade
Languages : en
Pages : 72
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Book Description
Author: Oksana Newman
Publisher: Walter de Gruyter
ISBN: 3598440383
Category : Language Arts & Disciplines
Languages : en
Pages : 426
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Book Description
Online Business Sourcebook is the only evaluative guide to electronic business database products and services. The arrangement of products and services within the Sourcebook is by thematic chapter, to make it easy to review all products on a specific topic: Online hosts and aggregators; The Internet; Company directories; Company financials; Investment analysis; Shareholder analysis; Credit; Mergers and acquisitions; Business and financial news; Business opportunities; Grants, advice and source of finance; Legislation and regulations; Prices; Market data; Industries; Economics and finance; International trade; Business management literature; Trademarks, trade names and brands; Recent highlights. Within most chapters, products are arranged by geographic coverage. Incorporated are three indexes: names; country/regions and subjects.
Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 102
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Book Description
Author: Ron S. Kenett
Publisher: Springer Nature
ISBN: 3031284828
Category : Computers
Languages : en
Pages : 486
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Book Description
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, data sets, and applications to supplement learning. Industrial Statistics: A Computer-Based Approach with Python is intended for a one- or two-semester advanced undergraduate or graduate course. In addition, it can be used in focused workshops combining theory, applications, and Python implementations. Researchers, practitioners, and data scientists will also find it to be a useful resource with the numerous applications and case studies that are included. A second, closely related textbook is titled Modern Statistics: A Computer-Based Approach with Python. It covers topics such as probability models and distribution functions, statistical inference and bootstrapping, time series analysis and predictions, and supervised and unsupervised learning. These texts can be used independently or for consecutive courses. The mistat Python package can be accessed at https://gedeck.github.io/mistat-code-solutions/IndustrialStatistics/. "This book is part of an impressive and extensive write up enterprise (roughly 1,000 pages!) which led to two books published by Birkhäuser. This book is on Industrial Statistics, an area in which the authors are recognized as major experts. The book combines classical methods (never to be forgotten!) and "hot topics" like cyber manufacturing, digital twins, A/B testing and Bayesian reliability. It is written in a very accessible style, focusing not only on HOW the methods are used, but also on WHY. In particular, the use of Python, throughout the book is highly appreciated. Python is probably the most important programming language used in modern analytics. The authors are warmly thanked for providing such a state-of-the-art book. It provides a comprehensive illustration of methods and examples based on the authors longstanding experience, and accessible code for learning and reusing in classrooms and on-site applications." Professor Fabrizio RuggeriResearch Director at the National Research Council, ItalyPresident of the International Society for Business and Industrial Statistics (ISBIS)Editor-in-Chief of Applied Stochastic Models in Business and Industry (ASMBI)
