Lingua: Inglese
Editore: Wiley & Sons, Incorporated, John, 2011
ISBN 10: 0470590742 ISBN 13: 9780470590744
Da: Better World Books, Mishawaka, IN, U.S.A.
Condizione: Very Good. Pages intact with possible writing/highlighting. Binding strong with minor wear. Dust jackets/supplements may not be included. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.
Da: World of Books (was SecondSale), Montgomery, IL, U.S.A.
Condizione: Very Good. Item in very good condition! Textbooks may not include supplemental items i.e. CDs, access codes etc.
hardcover. Condizione: New. In shrink wrap. Looks like an interesting title!
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Aggiungi al carrelloHRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
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Aggiungi al carrelloCondizione: New.
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Aggiungi al carrelloCondizione: New. pp. xxiv + 666 Illus.
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Aggiungi al carrelloHardback. Condizione: New. New copy - Usually dispatched within 4 working days.
Da: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
EUR 170,91
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Aggiungi al carrelloCondizione: New. Statistical methods for quality improvement offer numerous benefits for industry and business, both through identifying existing trouble spots and alerting management and technical personnel to potential problems. Series: Wiley Series in Probability and Statistics. Num Pages: 704 pages, Illustrations. BIC Classification: KJMQ; PB. Category: (P) Professional & Vocational. Dimension: 164 x 243 x 39. Weight in Grams: 1120. . 2011. 3rd Edition. Hardcover. . . . .
Condizione: New. pp. xxiv + 666 3rd Edition.
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Aggiungi al carrelloGebunden. Condizione: New. THOMAS P. RYAN, PhD, served on the Editorial Review Board of the Journal of Quality Technology from 1990-2006, including three years as the book review editor. He is an elected Fellow of the American Statistical Association, the American Society for Quality.
EUR 200,07
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Aggiungi al carrelloHardcover. Condizione: Brand New. 3rd edition. 672 pages. 9.51x6.46x1.56 inches. In Stock.
EUR 214,21
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Aggiungi al carrelloCondizione: New. Statistical methods for quality improvement offer numerous benefits for industry and business, both through identifying existing trouble spots and alerting management and technical personnel to potential problems. Series: Wiley Series in Probability and Statistics. Num Pages: 704 pages, Illustrations. BIC Classification: KJMQ; PB. Category: (P) Professional & Vocational. Dimension: 164 x 243 x 39. Weight in Grams: 1120. . 2011. 3rd Edition. Hardcover. . . . . Books ship from the US and Ireland.
EUR 205,44
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Aggiungi al carrelloBuch. Condizione: Neu. Neuware - 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 trainingIncorporating the latest software applications, the author has added coverage on how to use Minitab 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.
EUR 294,18
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Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
EUR 284,66
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Aggiungi al carrelloHardcover. Condizione: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
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Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Da: Revaluation Books, Exeter, Regno Unito
EUR 180,47
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Aggiungi al carrelloHardcover. Condizione: Brand New. 3rd edition. 672 pages. 9.51x6.46x1.56 inches. In Stock. This item is printed on demand.
Lingua: Inglese
Editore: John Wiley & Sons Inc, New York, 2011
ISBN 10: 0470590742 ISBN 13: 9780470590744
Da: CitiRetail, Stevenage, Regno Unito
EUR 175,07
Quantità: 1 disponibili
Aggiungi al carrelloHardcover. Condizione: new. Hardcover. Praise for the Second Edition "As a comprehensive statistics reference book for quality improvement, it certainly is one of the best books available." Technometrics This new edition continues to provide the most current, proven statistical methods for quality control and quality improvement The 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 toolsThe latest research on the monitoring of linear profiles and other types of profilesSections on generalized likelihood ratio charts and the effects of parameter estimation on the properties of CUSUM and EWMA proceduresNew discussions on design of experiments that include conditional effects and fraction of design space plotsNew 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 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. Statistical methods for quality improvement offer numerous benefits for industry and business, both through identifying existing trouble spots and alerting management and technical personnel to potential problems. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.