Multivariate Statistical Methods in Quality Management - Kai Yang, Jayant Trewn

Multivariate Statistical Methods in Quality Management

, (Autoren)

Buch | Hardcover
299 Seiten
2004
McGraw-Hill Professional (Verlag)
978-0-07-143208-5 (ISBN)
219,95 inkl. MwSt
A concise monograph on the most rigorous multivariate statistical methods -- a crucial tool for quality measurement.
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UPGRADE MANUFACTURING AND SERVICE PERFORMANCE WITH POWERFUL STATISTICAL TOOLSThere'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

McGraw-Hill authors represent the leading experts in their fields and are dedicated to improving the lives, careers, and interests of readers worldwide McGraw-Hill authors represent the leading experts in their fields and are dedicated to improving the lives, careers, and interests of readers worldwide

Chapter 1: Multivariate Statistical Methods and QualityChapter 2: Graphical Multivariate Data Display and Data StratificationChapter 3: Introduction to Multivariate Random Variables, Normal Distribution, and Sampling PropertiesChapter 4: Multivariate Analysis of VarianceChapter 5: Principal Component Analysis and Factor AnalysisChapter 6: Discriminant AnalysisChapter 7: Cluster AnalysisChapter 8: Mahalanobis Distance and Taguchi MethodChapter 9: Path Analysis and the Structural MethodChapter 10: Multivariate Statistical Process ControlAPPENDIX: PROBABILITY DISTRIBUTION TABLESREFERENCESINDEX

Erscheint lt. Verlag 16.3.2004
Zusatzinfo 50 Illustrations
Sprache englisch
Maße 158 x 231 mm
Gewicht 595 g
Themenwelt Mathematik / Informatik Mathematik Statistik
Technik Maschinenbau
ISBN-10 0-07-143208-6 / 0071432086
ISBN-13 978-0-07-143208-5 / 9780071432085
Zustand Neuware
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