Multivariate Statistical Methods in Quality Management
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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
Chapter 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
Chapter 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
Chapter 7: Cluster AnalysisChapter 8: Mahalanobis Distance and Taguchi MethodChapter 9: Path Analysis and the Structural MethodChapter 10: Multivariate Statistical Process ControlAPPENDIX: PROBABILITY DISTRIBUTION TABLESREFERENCESINDEX
Chapter 9: Path Analysis and the Structural MethodChapter 10: Multivariate Statistical Process ControlAPPENDIX: PROBABILITY DISTRIBUTION TABLESREFERENCESINDEX
APPENDIX: PROBABILITY DISTRIBUTION TABLESREFERENCESINDEX
INDEX
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