Statistical methods for quality improvement:
Gespeichert in:
1. Verfasser: | |
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Hoboken, N.J.
Wiley
2011
|
Ausgabe: | 3rd ed |
Schriftenreihe: | Wiley series in probability and statistics
|
Schlagworte: | |
Online-Zugang: | FHR01 FRO01 FWS01 FWS02 UBG01 Volltext |
Beschreibung: | "Praise for the Second Edition"As a comprehensive statistics reference book for quality improvement, it certainly is one of the best books available."--TechnometricsThis new edition continues to provide the most current, proven statistical methods for quality control and quality improvementThe use of quantitative methods offers numerous benefits in the fields of industry and business, both through identifying existing trouble spots and alerting management and technical personnel to potential problems. Statistical Methods for Quality Improvement, Third Edition guides readers through a broad range of tools and techniques that make it possible to quickly identify and resolve both current and potential trouble spots within almost any manufacturing or nonmanufacturing process. The book provides detailed coverage of the application of control charts, while also exploring critical topics such as regression, design of experiments, and Taguchi methods. In this new edition, the author continues to explain how to combine the many statistical methods explored in the book in order to optimize quality control and improvement. The book has been thoroughly revised and updated to reflect the latest research and practices in statistical methods and quality control, and new features include: Updated coverage of control charts, with newly added tools The latest research on the monitoring of linear profiles and other types of profiles Sections on generalized likelihood ratio charts and the effects of parameter estimation on the properties of CUSUM and EWMA procedures New discussions on design of experiments that include conditional effects and fraction of design space plots New material on Lean Six Sigma and Six Sigma programs and training Incorporating the latest software applications, the author has added coverage on how to use Minitab(r) software to obtain probability limits for attribute charts. new exercises have been added throughout the book, allowing readers to put the latest statistical methods into practice. Updated references are also provided, shedding light on the current literature and providing resources for further study of the topic. Statistical Methods for Quality Improvement, Third Edition is an excellent book for courses on quality control and design of experiments at the upper-undergraduate and graduate levels. the book also serves as a valuable reference for practicing statisticians, engineers, and physical scientists interested in statistical quality improvement"-- "In this new edition, the author continues to explain how to combine the many statistical methods explored in the book in order to optimize quality control and improvement. The book has been thoroughly revised and updated to reflect the latest research and practices in statistical methods and quality control, and new features include: Updated coverage of control charts, with newly added tools. The latest research on the monitoring of linear profiles and other types of profiles Sections on generalized likelihood ratio charts and the effects of parameter estimation on the properties of CUSUM and EWMA procedures"-- Includes bibliographical references and index |
Beschreibung: | 1 Online-Ressource (xxiv, 672 pages) |
ISBN: | 9781118058114 1118058119 9781118058091 1118058097 9780470590744 0470590742 9781118058107 1118058100 |
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500 | |a "Praise for the Second Edition"As a comprehensive statistics reference book for quality improvement, it certainly is one of the best books available."--TechnometricsThis new edition continues to provide the most current, proven statistical methods for quality control and quality improvementThe use of quantitative methods offers numerous benefits in the fields of industry and business, both through identifying existing trouble spots and alerting management and technical personnel to potential problems. Statistical Methods for Quality Improvement, Third Edition guides readers through a broad range of tools and techniques that make it possible to quickly identify and resolve both current and potential trouble spots within almost any manufacturing or nonmanufacturing process. The book provides detailed coverage of the application of control charts, while also exploring critical topics such as regression, design of experiments, and Taguchi methods. | ||
500 | |a In this new edition, the author continues to explain how to combine the many statistical methods explored in the book in order to optimize quality control and improvement. The book has been thoroughly revised and updated to reflect the latest research and practices in statistical methods and quality control, and new features include: Updated coverage of control charts, with newly added tools The latest research on the monitoring of linear profiles and other types of profiles Sections on generalized likelihood ratio charts and the effects of parameter estimation on the properties of CUSUM and EWMA procedures New discussions on design of experiments that include conditional effects and fraction of design space plots New material on Lean Six Sigma and Six Sigma programs and training Incorporating the latest software applications, the author has added coverage on how to use Minitab(r) software to obtain probability limits for attribute charts. | ||
500 | |a new exercises have been added throughout the book, allowing readers to put the latest statistical methods into practice. Updated references are also provided, shedding light on the current literature and providing resources for further study of the topic. Statistical Methods for Quality Improvement, Third Edition is an excellent book for courses on quality control and design of experiments at the upper-undergraduate and graduate levels. the book also serves as a valuable reference for practicing statisticians, engineers, and physical scientists interested in statistical quality improvement"-- | ||
500 | |a "In this new edition, the author continues to explain how to combine the many statistical methods explored in the book in order to optimize quality control and improvement. The book has been thoroughly revised and updated to reflect the latest research and practices in statistical methods and quality control, and new features include: Updated coverage of control charts, with newly added tools. The latest research on the monitoring of linear profiles and other types of profiles Sections on generalized likelihood ratio charts and the effects of parameter estimation on the properties of CUSUM and EWMA procedures"-- | ||
500 | |a Includes bibliographical references and index | ||
650 | 4 | |a Quality control / Statistical methods | |
650 | 4 | |a Process control / Statistical methods | |
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Datensatz im Suchindex
DE-BY-FWS_katkey | 607166 |
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any_adam_object | |
author | Ryan, Thomas P. 1945- |
author_GND | (DE-588)141559098 |
author_facet | Ryan, Thomas P. 1945- |
author_role | aut |
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building | Verbundindex |
bvnumber | BV043393372 |
classification_rvk | QH 251 ZM 9300 |
collection | ZDB-35-WIC |
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dewey-full | 658.5/62 |
dewey-hundreds | 600 - Technology (Applied sciences) |
dewey-ones | 658 - General management |
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dewey-search | 658.5/62 |
dewey-sort | 3658.5 262 |
dewey-tens | 650 - Management and auxiliary services |
discipline | Werkstoffwissenschaften / Fertigungstechnik Wirtschaftswissenschaften |
edition | 3rd ed |
format | Electronic eBook |
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id | DE-604.BV043393372 |
illustrated | Not Illustrated |
indexdate | 2024-08-01T12:12:42Z |
institution | BVB |
isbn | 9781118058114 1118058119 9781118058091 1118058097 9780470590744 0470590742 9781118058107 1118058100 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-028811956 |
oclc_num | 746324261 |
open_access_boolean | |
owner | DE-863 DE-BY-FWS DE-862 DE-BY-FWS DE-861 DE-898 DE-BY-UBR |
owner_facet | DE-863 DE-BY-FWS DE-862 DE-BY-FWS DE-861 DE-898 DE-BY-UBR |
physical | 1 Online-Ressource (xxiv, 672 pages) |
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publishDate | 2011 |
publishDateSearch | 2011 |
publishDateSort | 2011 |
publisher | Wiley |
record_format | marc |
series2 | Wiley series in probability and statistics |
spellingShingle | Ryan, Thomas P. 1945- Statistical methods for quality improvement Quality control / Statistical methods Process control / Statistical methods MATHEMATICS / Probability & Statistics / General bisacsh BUSINESS & ECONOMICS / Quality Control bisacsh TECHNOLOGY & ENGINEERING / Quality Control bisacsh Process control / Statistical methods fast Quality control / Statistical methods fast Wirtschaft Statistik (DE-588)4056995-0 gnd Statistische Qualitätskontrolle (DE-588)4182962-1 gnd Qualitätskontrolle (DE-588)4047968-7 gnd |
subject_GND | (DE-588)4056995-0 (DE-588)4182962-1 (DE-588)4047968-7 |
title | Statistical methods for quality improvement |
title_auth | Statistical methods for quality improvement |
title_exact_search | Statistical methods for quality improvement |
title_full | Statistical methods for quality improvement Thomas P. Ryan |
title_fullStr | Statistical methods for quality improvement Thomas P. Ryan |
title_full_unstemmed | Statistical methods for quality improvement Thomas P. Ryan |
title_short | Statistical methods for quality improvement |
title_sort | statistical methods for quality improvement |
topic | Quality control / Statistical methods Process control / Statistical methods MATHEMATICS / Probability & Statistics / General bisacsh BUSINESS & ECONOMICS / Quality Control bisacsh TECHNOLOGY & ENGINEERING / Quality Control bisacsh Process control / Statistical methods fast Quality control / Statistical methods fast Wirtschaft Statistik (DE-588)4056995-0 gnd Statistische Qualitätskontrolle (DE-588)4182962-1 gnd Qualitätskontrolle (DE-588)4047968-7 gnd |
topic_facet | Quality control / Statistical methods Process control / Statistical methods MATHEMATICS / Probability & Statistics / General BUSINESS & ECONOMICS / Quality Control TECHNOLOGY & ENGINEERING / Quality Control Wirtschaft Statistik Statistische Qualitätskontrolle Qualitätskontrolle |
url | https://onlinelibrary.wiley.com/doi/book/10.1002/9781118058114 |
work_keys_str_mv | AT ryanthomasp statisticalmethodsforqualityimprovement |