Multivariate statistical methods and Six-Sigma
by Kai Yang
International Journal of Six Sigma and Competitive Advantage (IJSSCA), Vol. 1, No. 1, 2004

Abstract: Multivariate statistical methods are very powerful methods that are playing important roles in many fields. Data mining and chemimetrics are among the successful applications of multivariate statistical methods in business and industry. However, multivariate statistical methods are seldom applied in Six-Sigma practice as well as quality assurance practice in general. With the advancement of information and computer technology, the barriers in applying multivariate statistical methods are disappearing. In this paper, we will show that multivariate statistical methods can play important roles in Six-Sigma (DMAIC) practice.

Online publication date: Sun, 19-Sep-2004

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