Bing Xing Wang

26 papers Journal 26
YearRankTypeTitle / Venue / Authors
2026 J jnl
Modeling and Estimation for Degradation Data With Initiation-Growth Correlations.
IEEE Trans. Reliab.
Wenhui Wu, Bing Xing Wang, Piao Chen
2025 J jnl
Reliability Evaluation for the Exponential Load-Sharing System Based on System Accelerated Life Testing Data.
IEEE Trans. Reliab.
Shuidan Qin, Bing Xing Wang, Xiaofei Wang, Junhao Liu
2024 J jnl
Inference for the Johnson
Commun. Stat. Simul. Comput.
Wenhui Wu, Bing Xing Wang, Xuanxuan Xu, Qingyuan Guan
2024 J jnl
Reliability Assessment and Remaining Useful Life Prediction Based on the Inverse Gaussian Step-Stress Accelerated Degradation Data.
IEEE Trans. Reliab.
Pei-Hua Jiang, Bing Xing Wang, Xiaofei Wang, Tzong-Ru Tsai
2023 J jnl
The prediction of remaining useful lifetime for the Weibull k-out-of-n load-sharing system.
Reliab. Eng. Syst. Saf.
Shuidan Qin, Bing Xing Wang, Tzong-Ru Tsai, Xiaofei Wang
2022 J jnl
Inference for constant stress accelerated life test under the proportional reverse hazards lifetime distribution.
Qual. Reliab. Eng. Int.
Xiaofei Wang, Bing Xing Wang, Wenjuan Liang, Pei-Hua Jiang
2022 J jnl
The prediction intervals of remaining useful life based on constant stress accelerated life test data.
Eur. J. Oper. Res.
Shuidan Qin, Bing Xing Wang, Wenhui Wu, Chao Ma
2021 J jnl
Degradation data analysis based on gamma process with random effects.
Eur. J. Oper. Res.
Xiaofei Wang, Bing Xing Wang, Yili Hong, Pei-Hua Jiang
2021 J jnl
General Path Models for Degradation Data With Multiple Characteristics and Covariates.
Technometrics
Lu Lu, Bing Xing Wang, Yili Hong, Zhisheng Ye
2021 J jnl
Interval estimation for inverse Gaussian distribution.
Qual. Reliab. Eng. Int.
Xiaofei Wang, Bing Xing Wang, Xin Pan, Yunkai Hu, Yingpei Chen, Junxing Zhou
2020 J jnl
Accurate reliability inference based on Wiener process with random effects for degradation data.
Reliab. Eng. Syst. Saf.
Xiaofei Wang, Bing Xing Wang, Pei-Hua Jiang, Yili Hong
2020 J jnl
Reliability analysis for accelerated degradation data based on the Wiener process with random effects.
Qual. Reliab. Eng. Int.
Xiaofei Wang, Bing Xing Wang, Wenhui Wu, Yili Hong
2018 J jnl
Inference on the Gamma Distribution.
Technometrics
Bing Xing Wang, Fangtao Wu
2018 J jnl
On Modeling Bivariate Wiener Degradation Process.
IEEE Trans. Reliab.
Ancha Xu, Lijuan Shen, Bing Xing Wang, Yincai Tang
2018 J jnl
Synthetic exponential control charts with unknown parameter.
Commun. Stat. Simul. Comput.
Lirong Sun, Bing Xing Wang, Baocai Guo, Min Xie
2017 J jnl
The Design of the
Qual. Reliab. Eng. Int.
Baocai Guo, Bing Xing Wang
2015 J jnl
Inference on the Weibull distribution based on record values.
Comput. Stat. Data Anal.
Bing Xing Wang, Zhi-Sheng Ye
2015 J jnl
Optimal design of a synthetic chart for monitoring process dispersion with unknown in-control variance.
Comput. Ind. Eng.
Baocai Guo, Bing Xing Wang, Yuan Cheng
2015 J jnl
The Design of the ARL-Unbiased
Qual. Reliab. Eng. Int.
Baocai Guo, Bing Xing Wang
2014 J jnl
A study of process monitoring based on inverse Gaussian distribution.
Comput. Ind. Eng.
Baocai Guo, Bing Xing Wang, Min Xie
2014 J jnl
Control Charts For Monitoring The Weibull Shape Parameter Based On Type-II Censored Sample.
Qual. Reliab. Eng. Int.
Baocai Guo, Bing Xing Wang
2014 J jnl
New Inference for Constant-Stress Accelerated Life Tests With Weibull Distribution and Progressively Type-II Censoring.
IEEE Trans. Reliab.
Bing Xing Wang, Keming Yu, Zhuo Sheng
2012 J jnl
Generalized interval estimation for the Birnbaum-Saunders distribution.
Comput. Stat. Data Anal.
Bing Xing Wang
2010 J jnl
Inference Under Progressively Type II Right-Censored Sampling for Certain Lifetime Distributions.
Technometrics
Bing Xing Wang, Keming Yu, M. C. Jones
2009 J jnl
Testing for the validity of the assumptions in the exponential step-stress accelerated life-testing model.
Comput. Stat. Data Anal.
Bing Xing Wang
2006 J jnl
Unbiased estimations for the exponential distribution based on step-stress accelerated life-testing data.
Appl. Math. Comput.
Bing Xing Wang