Epistolh - Professor Ronald D Armstrong Department of Management Science and Information Systems Rutgers University Janice H Levin Building 94

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Professor Ronald D. Armstrong Department of Management Science and Information Systems Rutgers University Janice H. Levin Building 94 Rockafeller Road Piscataway, NJ 08854-8054 USA Dear Professor Armstrong: I greatly appreciate the opportunity to strongly recommend Dr. Zachary G. Stoumbos for promotion to Full Professor at Rutgers University. I assumed that he was already a Full Professor based on his research recognition and visibility in the academic and professional community. His promotion is clearly overdue. Dr. Stoumbos’ work has been primarily in applied and industrial statistics, with a major focus of his work being in statistical process control (SPC) and sequential analysis. The numerous areas of application include manufacturing, medicine, management, finance, and law enforcement, among others. His recent work has expanded into innovative research in healthcare, classification analysis, and mathematical finance. He has extensively published in top-tier journals such as the Journal of the American Statistical Association , Technometrics , Journal of Quality Technology , IIE Transactions , and the two series of Nonlinear Analysis . The contributions of Dr. Stoumbos to SPC are major, both from the technical as well as practical perspective. They place him at the forefront of his field as likely the leading researcher of his generation. His papers tackle very important issues in adaptive and dynamic sampling, serial correlation, robustness to nonnormality, nonparametric methods, multivariate and multiparameter SPC, and process capability analysis. His investigations are founded on analytical results and highly accurate numerical methods based on Markov chain modeling and stochastic integral equations, with the occasional use of empirical studies when necessary. I will comment on several areas of his work. Traditional process monitoring methods are based on fixed samples taken at regular pre-specified points in time. Adaptive methods employ variable sampling rate policies in the application of control charts in order to achieve much better response rates with both standard Shewhart charts and more sophisticated CUSUM and EWMA charts (see papers #7 and #20). Modern data acquisition technology, now used in many applications, permits further improvements in the performance achieved by the SPRT and GSPRT charts developed by Dr. Stoumbos — from first principles — using decision methods based on dynamic sampling. These control charts achieve
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the fastest and most reliable response rates to date. Papers #32 and #33 are considered seminal on the topic. They have been widely cited and have spurred significant additional research by many other engineers and statisticians on this important subject, as well as numerous industrial and medical applications of this methodology. This can be seen by a quick search of the
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This note was uploaded on 01/11/2012 for the course STAT 401 taught by Professor Akritas during the Fall '00 term at Pennsylvania State University, University Park.

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Epistolh - Professor Ronald D Armstrong Department of Management Science and Information Systems Rutgers University Janice H Levin Building 94

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