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SUMMARY:ECAS-ENBIS Course:  Statistical Process Monitoring of Functional D
 ata
DTSTART:20250914T110000Z
DTEND:20250914T150000Z
DTSTAMP:20260816T224300Z
UID:indico-event-73@conferences.enbis.org
DESCRIPTION:\nECAS-ENBIS Course:  Statistical Process Monitoring of Funct
 ional Data\nPart of the ENBIS-25 Piraeus conference.\nThis half-day course
  is a joint initiative from ENBIS and ECAS (http://ecas.fenstats.eu/) whic
 h has provided courses since 1987 to achieve training in special areas of 
 statistics for both researchers and teachers for universities and professi
 onals in industry fields.\nInstructor\nChristian Capezza (University of Na
 ples Federico II\, Italy)\nOverview\nThis 4-hour applicative course focuse
 s on statistical process monitoring (SPM) for functional data\, with a str
 ong emphasis on industrial applications. Participants will learn to effect
 ively monitor and analyze functional data\, which arise when measurements 
 are continuously collected over a domain (e.g.\, time\, space). The course
  will introduce key functional data analysis (FDA) techniques\, highlighti
 ng their role in detecting anomalies and assessing process stability in re
 al-world industrial settings.\nThrough theoretical insights and hands-on p
 ractice\, attendees will explore state-of-the-art statistical methodologie
 s for monitoring functional processes. The course will feature an interact
 ive R session\, where participants will apply these techniques to industri
 al case studies using the funcharts R package\, available on CRAN.\nOutlin
 e\n \n\n\nHow to get smooth functional data\n\n\nMultivariate functional 
 principal component analysis\n\n\nControl charts for functional data\n\n\n
  \nReferences\n\nCapezza\, C.\, Centofanti\, F.\, Lepore\, A.\, Menafogli
 o\, A.\, Palumbo\, B.\, Vantini\, S. (2023). funcharts: Control charts for
  multivariate functional data in R\, Journal of Quality Technology\, 55(5)
 :566–583\, doi:10.1080/00224065.2023.2219012.\nCapezza\, C.\, Capizzi\, 
 G.\, Centofanti\, F.\, Lepore\, A.\, Palumbo\, B. (2025). An Adaptive Mult
 ivariate Functional EWMA Control Chart\, Journal of Quality Technology\, 5
 7(1):1–15\, doi:10.1080/00224065.2024.2383674.\nCapezza\, C.\, Centofant
 i\, F.\, Lepore\, A.\, Palumbo\, B. (2024). Robust Multivariate Functional
  Control Chart\, Technometrics\, 66(4):531–547\, doi:10.1080/00401706.20
 24.2327346.\n\nShort bio\nChristian Capezza is an Assistant Professor of S
 tatistics for Experimental and Technological Research at the Department of
  Industrial Engineering\, University of Naples Federico II (Italy)\, where
  he teaches Statistical Methods for Industrial Process Monitoring for the 
 MSc programs in Mathematical Engineering and Data Science. His research fo
 cuses on advanced statistical methodologies for engineering applications\,
  with particular interest in functional data analysis\, statistical proces
 s monitoring\, and generalized additive models. He is the maintainer of th
 e funcharts R package. He is a member of the Statistics For Engineering Re
 search (SFERe) group (www.sfere.unina.it). From March to April 2025\, he w
 as a visiting researcher at Georgia Tech (USA). He earned his PhD in Indus
 trial Engineering from the University of Naples Federico II in April 2020.
  During his doctoral studies\, he was a visiting PhD student at the School
  of Mathematics\, University of Bristol (UK)\, and the Department of Stati
 stical Sciences\, University of Padova.\n \n\n\nhttps://conferences.enbis
 .org/event/73/
URL:https://conferences.enbis.org/event/73/
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