Multivariate EWMA control chart based on a variable selection using AIC for multivariate statistical process monitoring

Kazuya Nishimura; Shun Matsuura; Hideo Suzuki

doi:10.1016/j.spl.2015.05.003

Multivariate EWMA control chart based on a variable selection using AIC for multivariate statistical process monitoring

Kazuya Nishimura, Shun Matsuura, Hideo Suzuki

Department of Industrial and Systems Engineering

Research output: Contribution to journal › Article › peer-review

18 Citations (Scopus)

Abstract

In multivariate statistical process control, when a process shift occurs, not all variables but a few variables may shift from the in-control state. This paper proposes a multivariate EWMA control chart based on a variable selection using AIC.

Original language	English
Pages (from-to)	7-13
Number of pages	7
Journal	Statistics and Probability Letters
Volume	104
DOIs	https://doi.org/10.1016/j.spl.2015.05.003
Publication status	Published - 2015 Sept 1

Keywords

Akaike information criterion
Exponentially weighted moving average
Multivariate control chart
Multivariate statistical process control
Variable selection

ASJC Scopus subject areas

Statistics and Probability
Statistics, Probability and Uncertainty

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10.1016/j.spl.2015.05.003

Cite this

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title = "Multivariate EWMA control chart based on a variable selection using AIC for multivariate statistical process monitoring",

abstract = "In multivariate statistical process control, when a process shift occurs, not all variables but a few variables may shift from the in-control state. This paper proposes a multivariate EWMA control chart based on a variable selection using AIC.",

keywords = "Akaike information criterion, Exponentially weighted moving average, Multivariate control chart, Multivariate statistical process control, Variable selection",

author = "Kazuya Nishimura and Shun Matsuura and Hideo Suzuki",

year = "2015",

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doi = "10.1016/j.spl.2015.05.003",

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T1 - Multivariate EWMA control chart based on a variable selection using AIC for multivariate statistical process monitoring

AU - Nishimura, Kazuya

AU - Matsuura, Shun

AU - Suzuki, Hideo

PY - 2015/9/1

Y1 - 2015/9/1

N2 - In multivariate statistical process control, when a process shift occurs, not all variables but a few variables may shift from the in-control state. This paper proposes a multivariate EWMA control chart based on a variable selection using AIC.

AB - In multivariate statistical process control, when a process shift occurs, not all variables but a few variables may shift from the in-control state. This paper proposes a multivariate EWMA control chart based on a variable selection using AIC.

KW - Akaike information criterion

KW - Exponentially weighted moving average

KW - Multivariate control chart

KW - Multivariate statistical process control

KW - Variable selection

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JO - Statistics and Probability Letters

JF - Statistics and Probability Letters

ER -

Multivariate EWMA control chart based on a variable selection using AIC for multivariate statistical process monitoring

Abstract

Keywords

ASJC Scopus subject areas

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