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 |
ifwang027@gs.ncku.edu.tw | |
辦公室 | 管理學院統計系館4樓62433室 |
聯絡電話 | (06)2757575~53630 |
個人網頁 | https://researchoutput.ncku.edu.tw/zh/persons/yi-fu-wang |
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 International, 38, 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 International, 37, pp. 902-919.
4. R.Z. Rao and Y.F. Wang* (2019). “Optimal Design for Trend Renewal Process Model”. Journal of the Chinese Statistical Association, 57, 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 Reliability, 68, 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 Technology, 51, 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 Simulation, 83, 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 Medicine, 31, 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.