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A LASSO-Based Diagnostic Framework for Multivariate Statistical Process Control
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A LASSO-Based Diagnostic Framework for Multivariate Statistical Process Control

Publication:
Technometrics
Date:
August 2011
Issue:
Volume 53 Issue 3
Pages:
pp. 297–309
Author(s):
Zou, Changliang, Jiang, Wei, Tsung, Fugee
Organization(s):
Nankai University, Tianjin, China, Shanghai Jiaotong University, Shanghai, China, Hong Kong University of Science and Technology, Hong Kong, China

Abstract

[This abstract is based on the authors' abstract.]This article proposes a fault isolation procedure combining Bayesian information criterion with the adaptive LASSO variable selection method. The diagnostic result is obtained quickly and with about as much computational effort as a least squares regression, and it requires no additional testing. Several statistical process control examples are presented to demonstrate the effectiveness of the method.

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