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

Discover All the Advantages of Using Design for Six Sigma to Develop and Build Customer Value-Based Products

Voice of the Customer Capture and Analysis equips Six Sigma you with the skills needed to create and deploy surveys, capture real customers need with ethnographic methods, immediately analyze the results, and coordinate and drive responsive actions.

Quality expert Kai Yang explains how to utilize the statistical methods of Design for Six Sigma to identify key customer needs and assess the cost of poor quality. He then shows how to design robust products to...

The Latest Tools and Guidance Needed to Implement Design for Six Sigma in New Product and Service Development

Hailed as a classic in its first edition, Design for Six Sigma has been fully revised and updated to equip you with everything you need to implement Design for Six Sigma (DFSS) in new product and service development.

The Second Edition of this indispensable design tool retains the core of the previous edition, while adding new information on innovation, lean product development, incomplete DOE, mixture experiments, and alternative DFSS...

Featuring case studies and practical examples from real-life organizations as well as theory, this pocket guide uses the widely used statistical software Minitab 16 to explain the set of Six Sigma tools required for a quick, green-belt level consultancy.