史玉山-著作目錄

史玉山

著作目錄

 

期刊論文

 

  1. Yu-Shan Shih and Kuang-Hsun Liu (2018, Jul). Regression trees for detecting preference patterns from rank data. Advances in Data Analysis and Classification. (Accepted). MOST 106-2118-M-194-002. 本人為第一作者、通訊作者.
  2. -H. Liu and Y.-S. Shih (2016, Jan). Score-scale decision tree for paired comparison data. Statistica Sinica, 26 (1): 429-444. (SCI). MOST 102-2118-M-194-002. 本人為通訊作者.
  3. Hsin-Ju Chang, Yu-Shan Shih* and Tsung-Jen Su (2014, Jun). Split selection methods for regression tree on detecting regional economic convergence. Journal of the Chinese Statistical Association, 52, 180-208. NSC 100-2118-M-194-001. 本人為通訊作者.
  4. Yi-Hung Kung, Chang-Ting Lin, Yu-Shan Shih* (2012, Sep). Split variable selection for tree modeling on rank data. Computational Statistics and Data Analysis, vol 56, pp. 2830-2836. (SCI). NSC 101-2118-M-194-001. 本人為通訊作者.
  5. Shu-Fu Kuo, Yu-Shan Shih* (2012, Jul). Variable selection for functional density trees. Journal of Applied Statistics, vol 39, pp. 1387-1395. (SCI). NSC 96-2118-M-194-001-MY2. 本人為通訊作者.
  6. Li-Ling Chuang, Y.-S. Shih* (2012, Feb). Approximated distributions of the weighted sum of correlated chi-squared random variables. Journal of Statistical Planning and Inference, vol 142, pp. 457-472. (SCI). 本人為通訊作者.
  7. Kim, W.-Y. Loh *, Y.-S. Shih and P. Chaudhuri (2007, –). Visualizable and interpretable regression models with good prediction power. IIE Transactions, vol 39, 565-579. (SCI). NSC 92-2118-M-194-001.
  8. -C. Hsiao, Y.-S. Shih* (2007, –). Splitting variable selection for multivariate regression trees. Statistics and Probability Letters, vol 77, 265-271. (SCI). NSC 94-2118-M-194-002.
  9. -W. Lee, Y.-S. Shih* (2006, –). Unbiased variable selection for classification trees with multivariate responses. Computational Statistics and Data Analysis, vol 51, 659-667. (SCI). NSC 94-2118-M-194-002.
  10. -S. Shih (2004, –). A Note on Split Selection Bias in Classification Trees. Computational Statistics and Data Analysis, vol 45, pp. 457-466. (SCI). NSC 90-2118-M-194-001.
  11. -S. Shih* and H.-W. Tasi (2004). Variable selection bias in regression trees with constant fits. Computational Statistics and Data Analysis, vol. 45, pp. 595-607. (SCI). NSC 91-2118-M-194-001.
  12. -S. Liu*, Y.-S. Shih, C.-Y. Ni, D.-Y. Chiou, C.-L. Chung, and M.-L. Huang (2002, Nov). Influences of material source, wafer process and location on silicon die fracture strength. Experimental Techniques, vol. 26, pp. 29–35. (EI).
  13. -S. Shih (2001). Selecting the best splits classification trees with categorical variables. Statistics and Probability Letters, vol. 54, pp. 341-345. (SCI).
  14. -S. Lim, W.-Y. Loh*, and Y.-S. Shih (2000, –). A comparison of prediction accuracy, complexity, and training time of thirty-three old and new classification algorithms. Machine Learning, vol. 40, pp. 203-228. (SCI). NSC 89-2118-M-194-005.
  15. Yu-Shan Shih (1999). Families of splitting criteria for classification trees. Statistics and Computing , 9, 309-315. (SCI). 本人為第一作者、通訊作者.
  16. -Y. Loh* and Y.-S. Shih (1997, Jul). Split selection methods for classification trees . Statistica Sinica, vol 7, 815-840. (SCI).

 

專書論文

 

  1. Bolt, D. M., Dowling, N. M., Shih, Y.-S., and Loh, W.-Y.. Using Blinder-Oaxaca decomposition to explore differential item functioning: Application to PISA 2009 reading. Test fairness in the new generation of large-scale assessment (ISBN: 1681238934). Charlotte, NC 28271, USA: Information Age Publisher. Jun, 2017: 161-183. http://www.infoagepub.com/products/Test-Fairness-in-the-New-Generation-of-Large-Scale-Assessment.

 

其他

 

  1. Wei-Yin Loh, Yu-Shan Shih (2015). QUEST Classification Tree, http://www.ccunix.ccu.edu.tw/~mthyss/quest.html.