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Ming-Chung Chang    Assistant Professor
Office:
Tel : (03)422-7151#65451
Fax: (03)425-8602
E-mail: mcchang0131@gmail.com
web: https://goo.gl/MnvsEs

Education
  Ph.D., Institute of Statistics, National Tsing Hua University, 2015  

Research Interests
  Design of Experiments, Industrial Statistics  

Publications
  Ming-Chung Chang* (2019). De-aliasing in two-level factorial designs: A Bayesian approach, Journal of Statistical Planning and Inference, 203, 82-90

Ming-Chung Chang*, Shao-Wei Cheng, and Ching-Shui Cheng (2019). Signal aliasing in Gaussian random fields for experiments with qualitative factors, Annals of Statistics, 47, 909-935

Ming-Chung Chang* and Ching-Shui Cheng (2018). A Bayesian approach to the selection of two-level multi-stratum factorial designs, Annals of Statistics, 46, 1779-1806

Rahul Mukerjee*, C. F. Jeff Wu, and Ming-Chung Chang (2017). Two-level minimum aberration designs under a conditional model with a pair of conditional and conditioning factors, Statistica Sinica, 27, 997-1016
 

Teaching
  Quality Engineering, 2019 (Fall)
Design of Experiments I, 2019 (Spring)
Multivariate Analysis I, 2019 (Spring)
Regression Analysis, 2018 (Fall)
Multivariate Analysis I, 2018 (Spring)
 


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