A robust self-starting spatial rank multivariate EWMA chart based on forward variable selection-Reference-Cited by-同舟云学术

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A robust self-starting spatial rank multivariate EWMA chart based on forward variable selection

Published:2017-01 Issue: Volume:103 Page:116-130
ISSN:0360-8352
Container-title:Computers & Industrial Engineering
language:en
Short-container-title:Computers & Industrial Engineering

Author:

Li Wendong,Pu Xiaolong,Tsung Fugee,Xiang Dongdong

Funder

National Science Fund of China

International Postdoctoral Exchange Fellowship Program

Postdoctoral Science Foundation of China

Fundamental Research Funds

Publisher

Elsevier BV

Subject

General Engineering,General Computer Science

Reference38 articles.

1. Recent advances in process monitoring: Nonparametric and variable-selection methods for Phase I and Phase II;Capizzi;Quality Engineering,2015

2. Using neural networks to detect the bivariate process variance shifts pattern;Cheng;Computers & Industrial Engineering,2011

3. Modeling wine preferences by data mining from physicochemical properties;Cortez;Decision Support Systems,2009

4. Multivariate generalizations of cumulative sum quality-control schemes;Crosier;Technometrics,1988

5. An effective application of decision tree learning for on-line detection of mean shifts in multivariate control charts;Guh;Computers & Industrial Engineering,2008

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