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張明中 助理教授   Ming-Chung Chang
辦  公  室: M505室
聯絡電話: (03)422-7151#65451
傳真電話: (03)425-8602
電子郵件: mcchang0131@gmail.com
個人網站: https://goo.gl/MnvsEs

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

研究領域
  Design of Experiments, Data Reduction, Industrial Statistics  

論文著作
  Ming-Chung Chang*. A unified framework for minimum aberration, Statistica Sinica, to appear. DOI: 10.5705/ss.202019.0416.

Ming-Chung Chang* (2019). An aberration criterion for conditional models, arXiv:1911.00717

Ming-Chung Chang* (2019). De-aliasing in two-level factorial designs: A Bayesian approach, Journal of Statistical Planning and Inference, 203, 82-90. DOI: 10.1016/j.jspi.2019.03.002.

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. DOI: 10.1214/18-AOS1682.

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. DOI: 10.1214/17-AOS1603.

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. DOI: 10.5705/ss.202015.0281.
 

教授課程
  Deep Learning in Statistical Analysis, 2020 (Fall)
Design of Experiments I, 2020 (Spring)
Multivariate Analysis I, 2020 (Spring)
Quality Engineering, 2019 (Fall)
Design of Experiments I, 2019 (Spring)
Multivariate Analysis I, 2019 (Spring)
Regression Analysis, 2018 (Fall)
Multivariate Analysis I, 2018 (Spring)
 

榮譽事蹟
  [1] 2020.08, 科技部109年度吳大猷先生紀念獎
[2] 2019.11, 科技部108年度年輕學者養成計畫(愛因斯坦培植計畫)
[3] 2019.11, 國立中央大學108學年度新聘傑出教研人員
[4] 2018.12, 國立中央大學107學年度新聘傑出教研人員
[5] 2018.04, 科技部106年度博士後研究人員學術著作獎
 

站外連結
  [1] 年輕學者養成計畫:http://ysgrant.stpi.narl.org.tw/
[2] 鄭清水教授:http://sites.stat.sinica.edu.tw/cheng/
[3] 吳建福教授:https://www2.isye.gatech.edu/~jeffwu/
[4] 鄭少為教授:http://www.stat.nthu.edu.tw/~swcheng/
 

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