A comparison study and discussion of the Mahalanobis-Taguchi System

Seoung Bum Kim, Kwok Leung Tsui, Thuntee Sukchotrat, Victoria C.P. Chen

Research output: Contribution to journalArticlepeer-review

26 Citations (Scopus)

Abstract

The Mahalanobis-Taguchi System (MTS) is a diagnostic tool for selecting the appropriate variables and quantifying the degree of abnormality in the group that needs to be diagnosed. MTS is said to be 'data analytic' rather than 'probability distribution based'. This statement has brought out some controversy in the statistics community. Despite the simplicity of MTS, it is considered ad hoc owing to the lack of statistical and probability theory. In this paper, we attempt to incorporate statistical thinking into the ad hoc parts of MTS by comparing with other multivariate statistical methods.

Original languageEnglish
Pages (from-to)631-644
Number of pages14
JournalInternational Journal of Industrial and Systems Engineering
Volume4
Issue number6
DOIs
Publication statusPublished - 2009
Externally publishedYes

Keywords

  • Hotelling's T2
  • Loss functions
  • MTS
  • Mahalanobis-Taguchi system
  • PCA
  • Principal component analysis
  • Tree-based methods

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Industrial and Manufacturing Engineering

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