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Author : United States. Bureau of the Census,John S. Berube
Publisher : Unknown
Page : 116 pages
File Size : 49,6 Mb
Release : 1977
Category : Manufactures
ISBN : UCR:31210024732479
Author : United States. Bureau of the Census
Publisher : Unknown
Page : 0 pages
File Size : 42,5 Mb
Release : 1978
Category : Manufactures
ISBN : LCCN:76608320
Author : United States. Bureau of the Census
Publisher : Unknown
Page : 68 pages
File Size : 40,5 Mb
Release : 1964
Category : Manufacturing industries
ISBN : UOM:39015034747082
Author : Etats-Unis. Census bureau
Publisher : Unknown
Page : 105 pages
File Size : 49,6 Mb
Release : 1978
Category : Electronic
ISBN : OCLC:462331775
Author : Anand M. Joglekar
Publisher : John Wiley & Sons
Page : 283 pages
File Size : 48,7 Mb
Release : 2010-04-30
Category : Science
ISBN : 9780470584125
HELPS YOU FULLY LEVERAGE STATISTICAL METHODS TO IMPROVE INDUSTRIAL PERFORMANCE Industrial Statistics guides you through ten practical statistical methods that have broad applications in many different industries for enhancing research, product design, process design, validation, manufacturing, and continuous improvement. As you progress through the book, you'll discover some valuable methods that are currently underutilized in industry as well as other methods that are often not used correctly. With twenty-five years of teaching and consulting experience, author Anand Joglekar has helped a diverse group of companies reduce costs, accelerate product development, and improve operations through the effective implementation of statistical methods. Based on his experience working with both clients and students, Dr. Joglekar focuses on real-world problem-solving. For each statistical method, the book: Presents the most important underlying concepts clearly and succinctly Minimizes mathematical details that can be delegated to a computer Illustrates applications with numerous practical examples Offers a "Questions to Ask" section at the end of each chapter to assist you with implementation The last chapter consists of 100 practical questions followed by their answers. If you're already familiar with statistical methods, you may want to take the test first to determine which methods to focus on. By helping readers fully leverage statistical methods to improve industrial performance, this book becomes an ideal reference and self-study guide for scientists, engineers, managers and other technical professionals across a wide range of industries. In addition, its clear explanations and examples make it highly suited as a textbook for undergraduate and graduate courses in statistics.
Author : United States. Bureau of the Census
Publisher : Unknown
Page : 116 pages
File Size : 46,5 Mb
Release : 1978
Category : Manufactures
ISBN : UCD:35555000153314
Author : United Nations. Statistical Office
Publisher : Unknown
Page : 118 pages
File Size : 41,5 Mb
Release : 1953
Category : Industrial statistics
ISBN : UIUC:30112051405626
Author : Etats-Unis. Census bureau
Publisher : Unknown
Page : 60 pages
File Size : 53,6 Mb
Release : 1964
Category : Electronic
ISBN : OCLC:460556173
Author : Richard Hill,Stuart Berry
Publisher : Springer Nature
Page : 285 pages
File Size : 40,5 Mb
Release : 2021-09-27
Category : Computers
ISBN : 9783030791049
This textbook describes the hands-on application of data science techniques to solve problems in manufacturing and the Industrial Internet of Things (IIoT). Monitoring and managing operational performance is a crucial activity for industrial and business organisations. The emergence of low-cost, accessible computing and storage, through Industrial Digital Technologies (IDT) and Industry 4.0, has generated considerable interest in innovative approaches to doing more with data. Data science, predictive analytics, machine learning, artificial intelligence and general approaches to modelling, simulating and visualising industrial systems have often been considered topics only for research labs and academic departments. This textbook debunks the mystique around applied data science and shows readers, using tutorial-style explanations and real-life case studies, how practitioners can develop their own understanding of performance to achieve tangible business improvements. All exercises can be completed with commonly available tools, many of which are free to install and use. Readers will learn how to use tools to investigate, diagnose, propose and implement analytics solutions that will provide explainable results to deliver digital transformation.
Author : Ron S. Kenett,Shelemyahu Zacks
Publisher : John Wiley & Sons
Page : 880 pages
File Size : 45,5 Mb
Release : 2021-04-28
Category : Mathematics
ISBN : 9781119714927
Modern Industrial Statistics The new edition of the prime reference on the tools of statistics used in industry and services, integrating theoretical, practical, and computer-based approaches Modern Industrial Statistics is a leading reference and guide to the statistics tools widely used in industry and services. Designed to help professionals and students easily access relevant theoretical and practical information in a single volume, this standard resource employs a computer-intensive approach to industrial statistics and provides numerous examples and procedures in the popular R language and for MINITAB and JMP statistical analysis software. Divided into two parts, the text covers the principles of statistical thinking and analysis, bootstrapping, predictive analytics, Bayesian inference, time series analysis, acceptance sampling, statistical process control, design and analysis of experiments, simulation and computer experiments, and reliability and survival analysis. Part A, on computer age statistical analysis, can be used in general courses on analytics and statistics. Part B is focused on industrial statistics applications. The fully revised third edition covers the latest techniques in R, MINITAB and JMP, and features brand-new coverage of time series analysis, predictive analytics and Bayesian inference. New and expanded simulation activities, examples, and case studies—drawn from the electronics, metal work, pharmaceutical, and financial industries—are complemented by additional computer and modeling methods. Helping readers develop skills for modeling data and designing experiments, this comprehensive volume: Explains the use of computer-based methods such as bootstrapping and data visualization Covers nonstandard techniques and applications of industrial statistical process control (SPC) charts Contains numerous problems, exercises, and data sets representing real-life case studies of statistical work in various business and industry settings Includes access to a companion website that contains an introduction to R, sample R code, csv files of all data sets, JMP add-ins, and downloadable appendices Provides an author-created R package, mistat, that includes all data sets and statistical analysis applications used in the book Part of the acclaimed Statistics in Practice series, Modern Industrial Statistics with Applications in R, MINITAB, and JMP, Third Edition, is the perfect textbook for advanced undergraduate and postgraduate courses in the areas of industrial statistics, quality and reliability engineering, and an important reference for industrial statisticians, researchers, and practitioners in related fields. The mistat R-package is available from the R CRAN repository.
Author : Anonim
Publisher : Unknown
Page : 128 pages
File Size : 49,7 Mb
Release : 2011
Category : Statistical services
ISBN : 1414465327
Author : Anonim
Publisher : Unknown
Page : 0 pages
File Size : 55,5 Mb
Release : 1991
Category : Mathematical statistics
ISBN : OCLC:869233319
Author : Anonim
Publisher : Unknown
Page : 0 pages
File Size : 49,5 Mb
Release : 2001
Category : Statistical services
ISBN : 0787636045
Author : Paul Wasserman,Joanne Paskar
Publisher : Unknown
Page : 892 pages
File Size : 42,5 Mb
Release : 1974-01-01
Category : Services statistiques
ISBN : 0810303965
Author : Anonim
Publisher : Unknown
Page : 320 pages
File Size : 53,5 Mb
Release : 1965
Category : Marketing
ISBN : UOM:39015085486200