Synopsis
This up-to-date survey of statistical quality control reviews basic probability and statistics, basic control chart principles (including cumulative sum procedures and multivariate charts), and provides insight into statistically designed experiments and related topics. Reviews the use of statistics in quality control in the U.S. and Japan, with a critical examination of Taguchi methods. Approach is conceptual rather than mathematical, making this book accessible to a wide audience.
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From the Back Cover
A comprehensive, up-to-date survey of statistical methods for 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. In the Second Edition of his successful book that is still unrivaled in content, Tom Ryan continues to offer clear, thorough coverage of all available techniques-from basic control charts to regression and design of experiments, and the combined use of these tools. This edition is fully expanded and revised, bringing readers up to date with very recent research and providing a solid foundation from which to explore the statistical literature. Dr. Ryan tackles complicated topics in a logical, engaging, easy-to-understand style, downplaying mathematical formulas and making the material accessible to industrial engineers and applied statisticians alike. Special features of Statistical Methods for Quality Improvement, Second Edition include:
? Greatly expanded chapters on process capability indices and multivariate control chart methods
? Improved attributes control charts based on the author's research
? A detailed presentation of Six Sigma programs
? A new, separate chapter on CUSUM and EWMA procedures
? New material on robust design and Taguchi-type procedures
? Chapter appendices for more in-depth coverage of selected topics
? Very extensive and up-to-date references in each chapter, in addition to a bibliography of papers on a variety of control chart applications
About the Author
THOMAS P. RYAN, PhD, is Director of Statistical Consulting in the Department of Statistics at Case Western Reserve University, and the author of Modern Regression Methods, available from Wiley.
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Statistical Methods for Quality Improvement
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Statistical Methods for Quality Improvement
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ISBN 10: 0471843377
ISBN 13: 9780471843375
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STATISTICAL METHODS FOR QUALITY IMPROVEMENT
Published by
John Wiley ans Sons/Wiley-Interscience, New York, Chichester, Brisbane, 1989
ISBN 10: 0471843377
ISBN 13: 9780471843375
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Hardcover. First Edition, First Printing. Octavo, viii, xviii, 446 pages. In Very Good condition with a Very Good minus dust jacket. Spine blue with white lettering. Dust jacket has slight soiling wear and mild age toning exteriorly. Prior bookshop's sticker to the rear. Boards show extremely minimal wear. Text block has slight age toning to the edges. Advertisements to the end papers. Slight pencil notations interiorly. Illustrated. First edition, first printing. NOTE: Shelved in Netdesk Column D, ND-D. 1377427. FP New Rockville Stock. Seller Inventory # 1377427
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STATISTICAL METHODS FOR QUALITY IMPROVEMENT.
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John Wiley & Sons, Inc., New York, 1989
ISBN 10: 0471843377
ISBN 13: 9780471843375
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Wiley Series in Probability and Statistics: Statistical Methods for Quality Improvement
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Hardcover. Condition: Fair. Wasserschaden / Verschmutzung; Farbveränderung durch Alter/Sonne. This up-to-date survey of statistical quality control reviews basic probability and statistics, basic control chart principles (including cumulative sum procedures and multivariate charts), and provides insight into statistically designed experiments and related topics. Reviews the use of statistics in quality control in the U.S. and Japan, with a critical examination of Taguchi methods. Approach is conceptual rather than mathematical, making this book accessible to a wide audience. Seller Inventory # d8dd930d-da05-4094-ab98-561fb39b89f3
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