A Comparison of the Mahalanobis-Taguchi System to Standard Statistical Methods for Defect Detection
Abstract
The Mahalanobis-Taguchi System is a diagnosis and forecasting method for multivariate data. Mahalanobis distance is a measure based on correlations between the variables and different patterns that can be identified and analyzed with respect to a base or reference group. This paper presents a comparison of the Mahalanobis-Taguchi System and a standard statistical technique for defect detection by identifying abnormalities. The objective of this research is to provide a method for defect detection with acceptable alpha (probability of type I) and beta (probability of type II) errors.
Recommended Citation
D. Drain et al., "A Comparison of the Mahalanobis-Taguchi System to Standard Statistical Methods for Defect Detection," Journal of Industrial and Systems Engineering, Iranian Institute of Industrial Engineering, Jan 2009.
Department(s)
Mathematics and Statistics
Second Department
Engineering Management and Systems Engineering
Keywords and Phrases
Mahalanobis-Taguchi system; alpha error; beta error; diagnosis; forecasting; mahalanobis distance; multivariate
Document Type
Article - Journal
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2009 Iranian Institute of Industrial Engineering, All rights reserved.
Publication Date
01 Jan 2009
