Multivariate Statistical Methods in Quality Management

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9780071432085: Multivariate Statistical Methods in Quality Management

Multivariate statistical methods are an essential component of quality engineering data analysis. This monograph provides a solid background in multivariate statistical fundamentals and details key multivariate statistical methods, including simple multivariate data graphical display and multivariate data stratification.

* Graphical multivariate data display
* Multivariate regression and path analysis
* Multivariate process control charts
* Six sigma and multivariate statistical methods

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From the Back Cover:

UPGRADE MANUFACTURING AND SERVICE PERFORMANCE WITH POWERFUL STATISTICAL TOOLS

There's no better way to master the most rigorous statistical methods available for analyzing the performance of complex systems -- Multivariate Statistical Methods in Quality Management teaches powerful analytic tools for troubleshooting, root cause analysis, process control, quality improvement, and many other applications. Written by statistics experts who specialize in reliability and quality engineering, this unique resource introduces the fundamentals and then demonstrates how to:

*Choose the best method for each data set
* Make complex data intelligible with graphical tools
* Coax important hidden information from data with graphical 3-D software and numerical multivariate data stratification
* Perform data reduction with principal component analysis, factor analysis, and discriminant analysis
* Apply multivariate methods in Six Sigma enterprises
* Get clarification from case studies, models, and 50 illustrations
* Uncover the source of problems and pinpoint solutions in arenas from manufacturing processes to sales performance and beyond

About the Author:

Kai Yang, Ph.D., has consulted extensively in many areas of quality and reliability engineering. He is Associate Professor of Industrial and Manufacturing Engineering at Wayne State University, Detroit, Michigan. He lives in West Bloomfield, Michigan.

Jayant Trewn, Ph.D., is a research faculty member at Beaumont Hospital in Royal Oak, Michigan. He is responsible for implementing cutting edge industrial engineering tools in hospital and health care management. Dr. Trewn was a Director of Quality and Productivity Improvement at Vetri Systems, a Lason Company. He was responsible for business process design and improvement in the global business environment.

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Book Description McGraw-Hill Education - Europe, United States, 2004. Hardback. Book Condition: New. New.. 231 x 155 mm. Language: English . Brand New Book ***** Print on Demand *****. Upgrade manufacturing and service performance with powerful statistical tools. There s no better way to master the most rigorous statistical methods available for analyzing the performance of complex systems - Multivariate Statistical Methods in Quality Management teaches powerful analytic tools for troubleshooting, root cause analysis, process control, quality improvement, and many other applications.Written by statistics experts who specialize in reliability and quality engineering, this unique resource introduces the fundamentals and then demonstrates how to: choose the best method for each data set; make complex data intelligible with graphical tools; coax important hidden information from data with graphical 3-D software and numerical multivariate data stratification; perform data reduction with principal component analysis, factor analysis, and discriminant analysis; apply multivariate methods in Six Sigma enterprises; get clarification from case studies, models, and 50 illustrations; and, uncover the source of problems and pinpoint solutions in arenas from manufacturing processes to sales performance and beyond. Bookseller Inventory # APC9780071432085

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Book Description McGraw-Hill Education - Europe, United States, 2004. Hardback. Book Condition: New. New.. 231 x 155 mm. Language: English . Brand New Book ***** Print on Demand *****.Upgrade manufacturing and service performance with powerful statistical tools. There s no better way to master the most rigorous statistical methods available for analyzing the performance of complex systems - Multivariate Statistical Methods in Quality Management teaches powerful analytic tools for troubleshooting, root cause analysis, process control, quality improvement, and many other applications.Written by statistics experts who specialize in reliability and quality engineering, this unique resource introduces the fundamentals and then demonstrates how to: choose the best method for each data set; make complex data intelligible with graphical tools; coax important hidden information from data with graphical 3-D software and numerical multivariate data stratification; perform data reduction with principal component analysis, factor analysis, and discriminant analysis; apply multivariate methods in Six Sigma enterprises; get clarification from case studies, models, and 50 illustrations; and, uncover the source of problems and pinpoint solutions in arenas from manufacturing processes to sales performance and beyond. Bookseller Inventory # APC9780071432085

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Book Description McGraw-Hill Professional. Hardcover. Book Condition: New. Hardcover. 288 pages. Dimensions: 9.1in. x 6.1in. x 1.0in.Multivariate statistical methods are an essential component of quality engineering data analysis. This monograph provides a solid background in multivariate statistical fundamentals and details key multivariate statistical methods, including simple multivariate data graphical display and multivariate data stratification. Graphical multivariate data display Multivariate regression and path analysis Multivariate process control charts Six sigma and multivariate statistical methods This item ships from multiple locations. Your book may arrive from Roseburg,OR, La Vergne,TN. Hardcover. Bookseller Inventory # 9780071432085

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