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Self-starting multivariate control charts for location and scale
Edgard M. Maboudou-Tchao
, Douglas M. Hawkins
Statistics (Twin Cities)
Research output
:
Contribution to journal
›
Article
›
peer-review
32
Scopus citations
Overview
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Dive into the research topics of 'Self-starting multivariate control charts for location and scale'. Together they form a unique fingerprint.
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Keyphrases
Covariance Matrix
100%
Self-starting
100%
Multivariate Control Chart
100%
Mean Vector
66%
Parameter Estimation
33%
Parameter Values
33%
In-control
33%
Calibration Sample
33%
Multivariate Exponentially Weighted Moving Average (MEWMA)
33%
Exponentially Weight
33%
Control Rights
33%
Starting Method
33%
Run Length Distribution
33%
Correlated Characteristics
33%
Plugging in
33%
Exact Control
33%
Engineering
Control Charts
100%
Covariance Matrix
100%
Moving Average
33%
Run Length
33%
Good Performance
33%
Control Parameter
33%
Reading Process
33%
Parameter Estimate
33%
Plugging-In
33%
Combination Chart
33%
Mathematics
Covariance Matrix
100%
Run-Length
33%
Exponentially Weighted Moving Average
33%
Parameter Estimate
33%
Control Parameter
33%