Multivariate Statistical Methods in Quality Management

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9780071432085: Multivariate Statistical Methods in Quality Management

A concise monograph on the most rigorous multivariate statistical methods -- a crucial tool for quality measurement.

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Yang (industrial and manufacturing engineering, Wayne State University)and Trewn (research faculty, Beaumont Hospital) explain analytical tools for trouble-shooting, root cause analysis, process control, quality improvement, and other applications in business and industry. Writing for quality professionals, they discuss the theory and background of each method and give examples illustrating how these multivariate statistical methods can be used to solve real world problems, then show how to integrate multivariate statistical methods in quality assurance practice and Six Sigma projects. Readers should have some background in univariate statistical concepts and simple data analysis techniques, as well as in matrix algebra. ( Sci-Tech Book News 2004-06-01)

From the Publisher:

  • Perform empirical work using standard techniques
  • Identify appropriate methods according to scientific task
  • Assess results critically and develop alternatives
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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. 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 # AAC9780071432085

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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. 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 # AAC9780071432085

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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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