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008 120327s2011 nju b 001 0 eng
020 _a9780470590744 (hbk.)
_cRM383.97
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_bzabidah
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_dmazarita
_y03-27-2012
_zlatihan
040 _dUKM
090 _aTS156.R934 2011
090 _aTS156
_b.R934 2011
100 1 _aRyan, Thomas P.,
_d1945-
245 1 0 _aStatistical methods for quality improvement /
_cThomas P. Ryan.
250 _a3rd ed.
260 _aHoboken, New Jersey :
_bJohn Wiley & Sons,
_c2011.
300 _axxiv, 666 p. ; 24 cm.
490 0 _aWiley series in probability and statistics ;
_v840.
504 _aIncludes bibliographical references and index.
520 _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.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'--
_cProvided by publisher.
520 _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'--
_cProvided by publisher.
650 0 _aQuality control
_xStatistical methods.
650 0 _aProcess control
_xStatistical methods.
907 _a.b15299119
_b2021-05-28
_c2019-11-12
942 _c01
_n0
_kTS156.R934 2011
914 _avtls003493790
990 _aza
991 _aFakulti Sains Sosial dan Kemanusiaan
998 _al
_b2012-01-03
_cm
_da
_feng
_gnju
_y0
_z.b15299119
999 _c513778
_d513778