A comparison study and discussion of the Mahalanobis-Taguchi System

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

doi:10.1504/IJISE.2009.026768

A comparison study and discussion of the Mahalanobis-Taguchi System

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

Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

30 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. Copyright © 2009, Inderscience Publishers.

Original language	English
Pages (from-to)	631-644
Journal	International Journal of Industrial and Systems Engineering
Volume	4
Issue number	6
DOIs	https://doi.org/10.1504/IJISE.2009.026768
Publication status	Published - 2009
Externally published	Yes

Research Keywords

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

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title = "A comparison study and discussion of the Mahalanobis-Taguchi System",

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. Copyright {\textcopyright} 2009, Inderscience Publishers.",

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AU - Sukchotrat, Thuntee

AU - Chen, Victoria C.P.

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AB - 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. Copyright © 2009, Inderscience Publishers.

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KW - Loss functions

KW - Mahalanobis-Taguchi system

KW - MTS

KW - PCA

KW - Principal component analysis

KW - Tree-based methods

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DO - 10.1504/IJISE.2009.026768

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EP - 644

JO - International Journal of Industrial and Systems Engineering

JF - International Journal of Industrial and Systems Engineering

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ER -

A comparison study and discussion of the Mahalanobis-Taguchi System

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Research Keywords

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