JMP Webinar: Fault Detection and Diagnosis in High Dimensional Processes Using Model Driven Multivariate Control Charts

Europe/Amsterdam
Murat Caner Testik (Hacettepe University)
Description

Fault Detection and Diagnosis in High Dimensional Processes Using Model Driven Multivariate Control Charts

Speakers: Jianfeng Ding, Sr. Research Statistician Developer, Jianfeng.Ding@jmp.com ; Jeremy Ash, Analytics Software Tester, Jeremy.Ash@jmp.com

Moderator: Murat Caner Testik

Date: Nov. 17th 3pm CET

Bio:

Jianfeng Ding

jianfeng.ding@sas.com

Jianfeng Ding is a senior research statistician in JMP Division of SAS Institute, the most leading analytics software company in the world. She is a key research developer for JMP which creates interactive and highly visual statistical discovery software designed for scientists and engineers. In her 20 years long career at SAS Institute, she has developed and supported a wide range of statistical tools such as Multivariate, Principal Components, Factor Analysis, Partial Least Squares, Multiple Correspondence Analysis and Model Driven Multivariate Control Chart within JMP.

Ding received a bachelor’s degree in Meteorology from Nanjing University. She earned a master’s degree in marine, earth and atmospheric sciences, and a master’s degree in statistics from North Carolina State University.

 

Jeremy Ash

jeremy.ash@jmp.com

Dr. Jeremy Ash is an Analytics Software Tester in the JMP Division of SAS Institute. He evaluates statistics methodology in the JMP software with a particular focus on multivariate statistics. He obtained a PhD in Bioinformatics and MS in Statistics from North Carolina State University. His research is in cheminformatics and chemometrics, and he has authored several publications on development of software and statistical methodology in the area.