姓 名 王義富
職 稱 助理教授
專長領域 貝氏分析、可靠度分析、衰變分析
辦公室 管理學院統計系館4樓62433室
聯絡電話 (06)2757575~53630
經 歷(Main Experiences)
  • 成功大學 統計系 助理教授 (2022/02-迄今)
  • 中正大學 數學系 助理教授 (2016/08-2022/01)
  • 清華大學 統計所 博士後研究員 (2014/08-2016/07)
  • 中央大學 統計所 博士後研究員 (2012/09-2014/07)
  • 中央大學 統計所 博士 (2005/09-2011/06)
  • 中央大學 統計所 碩士 (2003/09-2005/06)
  • 清華大學 數學系 學士 (1999/09-2003/06)
研究方向(Research Field)
  • 貝氏分析 (Bayesian Analysis)
  • 可靠度分析 (Reliability Analysis)
  • 衰變分析 (Degradation Analysis)
  • 最適實驗配置 (Optimal Design)
  • 可維修系統 (Repairable System)
  • 結構方程模型 (Structural Equation Modeling)

1. T.H. Fan and Y.F. Wang* (2023). “Bayesian Model Selection for Structural Equation Models for Myopia Data”. Communications in Statistics - Simulation and Computation, 20, pp. 5680-5694. 

2. Y.F. Wang, Y. Huang* and W.C. Liao (2022). “Degradation Analysis on Trend Gamma Process”. Quality and Reliability Engineering International,       Quality and Reliability Engineering International38, pp. 941-956.

3. T.H. Fan and Y.F. Wang* (2021). “Comparison of Optimal Accelerated Life Tests with Competing Risks Model under Exponential Distribution”.           Quality and Reliability Engineering International37, pp. 902-919.

4. R.Z. Rao and Y.F. Wang* (2019). “Optimal Design for Trend Renewal Process Model”. Journal of the Chinese Statistical Association57, pp. 178       -210.

5. T.H. Fan*, Y.F. Wang and S.K. Ju (2019). “A Competing Risks Model with Multiply Censored Reliability Data under Multivariate Weibull Lifetime         Distributions”. IEEE Transactions on Reliability68, pp. 462-475.

6. Y.F. Wang, S.T. Tseng*, B.H. Lindqvist and K.L. Tsui (2019). “End of Performance Prediction of Lithium-ion Batteries.” Journal of Quality                    Technology51, pp. 198-213.

7. T.H. Fan*, Y.F. Wang and Y.C. Zhang (2014). “Bayesian model selection in linear mixed effects models with autoregressive(p) errors using                 mixture priors.” Journal of Applied Statistics, 41, pp. 1814-1829.

8. T.H. Fan* and Y.F. Wang (2013). “An empirical Bayesian forecast in the threshold stochastic volatility models.” Journal of Statistical Computation       and Simulation83, pp. 486-500.

9. Y.F. Wang and T.H. Fan* (2012). “Bayesian analysis of the structural equation models with application to a longitudinal myopia trial.” Statistics in       Medicine31, pp. 188-200.

10. Y.F. Wang and T.H. Fan* (2011). “A Bayesian analysis on time series structural equation models.” Journal of Statistical Planning and Inference,         141, pp. 2071-2078.