Multivariate Statistical Methods in Quality Management

by: Kai Yang, Jayant Trewn


Abstract: 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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Book Details

Title: Multivariate Statistical Methods in Quality Management

Publisher: McGraw-Hill: New York, Chicago, San Francisco, Lisbon, London, Madrid, Mexico City, Milan, New Delhi, San Juan, Seoul, Singapore, Sydney, Toronto

Copyright / Pub. Date: 2004 The McGraw-Hill Companies, Inc.

ISBN: 9780071432085

Authors:

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 is the author of this McGraw-Hill Professional publication.

Description: 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.