Multivariate Quality Analysis is a statistical methodology that extends univariate and bivariate quality control techniques by simultaneously analyzing multiple interrelated quality variables to detect, diagnose, and monitor sources of variation in complex systems, processes, or datasets.
240
Publications
15.2K
Citations
899
Authors
409
Institutions
Publications per year
2017–2026
65
Parents
Publications
240
Multivariate CUSUM Quality-Control Procedures
William H. Woodall, Matoteng M. Ncube · Technometrics · 1985 · 394 citations
1–5 of 240
Authors
899
- IR
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h-index
- JP
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- MGMarco Guerrini
Istituto di Ricerche Chimiche e Biochimiche G. Ronzoni, Italy
3 publications · 53 citations
3
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- YS
3
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- EA
3
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1–5 of 899
Institutions
409
Zhejiang University
Hangzhou, China
5 h-index
18 publications
1K citations
Georgia Institute of Technology
Atlanta, United States
3 h-index
6 publications
388 citations
Istituto di Ricerche Chimiche e Biochimiche G. Ronzoni
Milan, Italy
3 h-index
9 publications
178 citations
University of Oklahoma
Norman, United States
3 h-index
3 publications
92 citations
Instituto Politécnico Nacional
Mexico City, Mexico
3 h-index
10 publications
458 citations
Universidade do Porto
Porto, Portugal
3 h-index
7 publications
182 citations
University of Liverpool
Liverpool, United Kingdom
3 h-index
6 publications
106 citations
University of Minnesota
Minneapolis, United States
3 h-index
7 publications
1.3K citations
1–8 of 409
Venues
- Technometrics
10 publications · 2.1K citations
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- Journal of Agricultural and Food Chemistry
10 publications · 540 citations
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- Journal of the Science of Food and Agriculture
7 publications · 316 citations
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- Journal of Quality Technology
5 publications · 665 citations
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- European Food Research and Technology
5 publications · 269 citations
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