Praise for the Second Edition "e;As a comprehensive statistics reference book for quality improvement, it certainly is one of the best books available."e; 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 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 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.

Praise for the Second Edition"As a comprehensive statistics reference book for qualityimprovement, it certainly is one of the best booksavailable."TechnometricsThis new edition continues to provide the most currentproven statistical methods for quality control and qualityimprovementThe use of quantitative methods offers numerous benefits in thefields of industry and business, both through identifying existingtrouble spots and alerting management and technical personnel topotential problems. Statistical Methods for Quality ImprovementThird Edition guides readers through a broad range of tools andtechniques that make it possible to quickly identify and resolveboth current and potential trouble spots within almost anymanufacturing or nonmanufacturing process. The book providesdetailed coverage of the application of control charts, while alsoexploring critical topics such as regression, design ofexperiments, and Taguchi methods.In this new edition, the author continues to explain how tocombine the many statistical methods explored in the book in orderto optimize quality control and improvement. The book has beenthoroughly revised and updated to reflect the latest research andpractices in statistical methods and quality control, and newfeatures include:* Updated coverage of control charts, with newly added tools* The latest research on the monitoring of linear profiles andother types of profiles* Sections on generalized likelihood ratio charts and the effectsof parameter estimation on the properties of CUSUM and EWMAprocedures* New discussions on design of experiments that includeconditional effects and fraction of design space plots* New material on Lean Six Sigma and Six Sigma programs andtrainingIncorporating the latest software applications, the author hasadded coverage on how to use Minitab software to obtain probabilitylimits for attribute charts. new exercises have been addedthroughout the book, allowing readers to put the latest statisticalmethods into practice. Updated references are also providedshedding light on the current literature and providing resourcesfor further study of the topic.Statistical Methods for Quality Improvement, ThirdEdition is an excellent book for courses on quality control anddesign of experiments at the upper-undergraduate and graduatelevels. the book also serves as a valuable reference for practicingstatisticians, engineers, and physical scientists interested instatistical quality improvement.