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Engineering and manufacturing industries

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Multivariate thinking

Article Abstract:

Multivariate thinking is a subset of statistical thinking that examines relationships between and among process variables. Combining statistical thinking and multivariate analysis procedures may eventually lead to more creative and innovative techniques for improving quality.

Author: Young, John C., Mason, Robert L.
Publisher: American Society for Quality Control, Inc.
Publication Name: Quality Progress
Subject: Engineering and manufacturing industries
ISSN: 0033-524X
Year: 2004
Technological innovations, Total quality management

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Detecting dependent observations in multivariate statistical process control

Article Abstract:

Ways on how data dependencies can be detected is discussed, and the best thing to do is to use software on multivariate procedures. The estimation of variation using multivariate data, and other software options are also presented.

Author: Young, John C., Mason, Robert L.
Publisher: American Society for Quality Control, Inc.
Publication Name: Quality Progress
Subject: Engineering and manufacturing industries
ISSN: 0033-524X
Year: 2007
Quality Control Management, Usage, Quality control

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Multivariate tools: principal component analysis

Article Abstract:

The methods of principal component analysis are discussed for process control in an organizations quality management are discussed.

Author: Young, John C., Mason, Robert L.
Publisher: American Society for Quality Control, Inc.
Publication Name: Quality Progress
Subject: Engineering and manufacturing industries
ISSN: 0033-524X
Year: 2005
Product quality, Quality management, Associations, institutions, etc., Process control, Principal components analysis, Organizations

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Subjects list: Methods, Analysis, Multivariate analysis, United States
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