2017 - Fellow of the American Statistical Association (ASA)
The scientist’s investigation covers issues in Statistical process control, Control chart, Statistics, Data mining and Chart. His Statistical process control research incorporates themes from Parametric statistics, Lasso, Likelihood-ratio test, Feature selection and Process. His Control chart research is multidisciplinary, relying on both Multivariate statistics and Standard deviation.
His studies deal with areas such as Algorithm and EWMA chart as well as Statistics. His research in Algorithm intersects with topics in Sampling, Regression analysis, Polynomial regression and Linear model. In Data mining, Fugee Tsung works on issues like Manufacturing, which are connected to Emerging technologies and Smart manufacturing.
His primary areas of investigation include Statistical process control, Control chart, Statistics, Data mining and Chart. His study with Statistical process control involves better knowledge in Quality. His research in Control chart focuses on subjects like Multivariate statistics, which are connected to Feature selection.
His Statistics research includes elements of Algorithm, Control limits and Econometrics. His Data mining research is multidisciplinary, incorporating perspectives in Multiple comparisons problem and Fault detection and isolation. The various areas that Fugee Tsung examines in his Chart study include Monte Carlo method and Autocorrelation.
His primary scientific interests are in Statistical process control, Data mining, Control chart, Quality and Algorithm. His Statistical process control research includes themes of Reliability engineering and Big data. The concepts of his Data mining study are interwoven with issues in Data quality and Cluster analysis.
His Control chart study integrates concerns from other disciplines, such as Statistics, Latent variable, Chart and Real-time computing. His work investigates the relationship between Statistics and topics such as Econometrics that intersect with problems in Management science and Parametric statistics. He has included themes like Control, Process and Machining in his Quality study.
Fugee Tsung mainly focuses on Statistical process control, Control chart, Data mining, EWMA chart and Quality. His Statistical process control study incorporates themes from Clustering high-dimensional data, Fault detection and isolation, Data stream mining, Statistical model and Statistic. He combines topics linked to Mode with his work on Control chart.
His work in the fields of Data mining, such as Big data, overlaps with other areas such as STREAMS. His work carried out in the field of EWMA chart brings together such families of science as Statistics, Binomial distribution, Chart, Autocorrelation and Econometrics. The study incorporates disciplines such as Reference data, Sensitivity, Multivariate statistics, Shewhart individuals control chart and Feature selection in addition to Chart.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Monitoring General Linear Profiles Using Multivariate Exponentially Weighted Moving Average Schemes
Changliang Zou;Fugee Tsung;Zhaojun Wang.
Pushing Quality Improvement Along Supply Chains
Kaijie Zhu;Rachel Q. Zhang;Fugee Tsung.
Management Science (2007)
The Internet of Things for Smart Manufacturing: A Review
Hui Yang;Soundar R. T. Kumara;Satish T. S. Bukkapatnam;Fugee Tsung.
IISE Transactions (2019)
A kernel-distance-based multivariate control chart using support vector methods
Ruixiang Sun;Fugee Tsung.
International Journal of Production Research (2003)
Monitoring Profiles Based on Nonparametric Regression Methods
Changliang Zou;Fugee Tsung;Zhaojun Wang.
A Multivariate Sign EWMA Control Chart.
Changliang Zou;Fugee Tsung.
Using Profile Monitoring Techniques for a Data-rich Environment with Huge Sample Size
Kaibo Wang;Fugee Tsung.
Quality and Reliability Engineering International (2005)
A DMAIC approach to printed circuit board quality improvement
J. P. C. Tong;F. Tsung;B. P. C. Yen.
The International Journal of Advanced Manufacturing Technology (2004)
A Reference-Free Cuscore Chart for Dynamic Mean Change Detection and a Unified Framework for Charting Performance Comparison
Dong Han;Fugee Tsung.
Journal of the American Statistical Association (2006)
One-class classification-based control charts for multivariate process monitoring
Thuntee Sukchotrat;Seoung Bum Kim;Fugee Tsung.
Iie Transactions (2009)
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