Statistical Process Validation
Statistical Process Validation is a formal methodology within the field of quality assurance and process engineering that employs statistical techniques to verify and document that a process consistently produces outputs meeting predetermined specifications and quality attributes under normal operating conditions.
10
Publications
1.5K
Citations
45
Authors
24
Institutions
Publications per year
2017–2026
3
Parents
10
A Framework for Validation of Computer Models
M. J. Bayarri, James O. Berger, Rui Paulo et al. · Technometrics · 2007 · 670 citations
Aneirson Francisco da Silva, Fernando Augusto Silva Marins, Erica Ximenes Dias et al. · Materials & Design · 2019 · 25 citations · Full text
Engineering, Automotive Engineering, Manufacturing Engineering +17
Leoni N. Brondani, Santhiago Scherer Simões, Dian Celante · Industrial & Engineering Chemistry Research · 2018 · 23 citations
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University of Auckland
Auckland, New Zealand
1 h-index
1 publications
13 citations
Center for Pediatric Endocrinology Zurich
Zurich, Switzerland
1 h-index
2 publications
1.1K citations

University of East Anglia
Norwich, United Kingdom
1 h-index
1 publications
12 citations
Duke University
Durham, United States
1 h-index
1 publications
670 citations
Indonesia University of Education
Bandung, Indonesia
1 h-index
3 publications
42 citations
Universidade Estadual Paulista (Unesp)
São Paulo, Brazil
1 h-index
4 publications
100 citations
University of Cambridge
Cambridge, United Kingdom
1 h-index
1 publications
12 citations
National Institute of Statistical Sciences
Washington D.C., United States
1 h-index
1 publications
670 citations
1–8 of 24
1 publications · 566 citations
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Conference · 1 publications · 12 citations
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1 publications · 25 citations
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1 publications · 670 citations
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1 publications · 12 citations
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