Unbiased estimations for the exponential distribution based on step-stress accelerated life-testing data. - Bing Xing Wang (Appl. Math. Comput., 2006)

Testing for the validity of the assumptions in the exponential step-stress accelerated life-testing model. - Bing Xing Wang (Comput. Stat. Data Anal., 2009)

Inference Under Progressively Type II Right-Censored Sampling for Certain Lifetime Distributions. - Bing Xing Wang; Keming Yu; M. C. Jones (Technometrics, 2010)

Generalized interval estimation for the Birnbaum-Saunders distribution. - Bing Xing Wang (Comput. Stat. Data Anal., 2012)

A study of process monitoring based on inverse Gaussian distribution. - Baocai Guo; Bing Xing Wang; Min Xie 001 (Comput. Ind. Eng., 2014)

Control Charts For Monitoring The Weibull Shape Parameter Based On Type-II Censored Sample. - Baocai Guo; Bing Xing Wang (Qual. Reliab. Eng. Int., 2014)

New Inference for Constant-Stress Accelerated Life Tests With Weibull Distribution and Progressively Type-II Censoring. - Bing Xing Wang; Keming Yu; Zhuo Sheng (IEEE Trans. Reliab., 2014)

Optimal design of a synthetic chart for monitoring process dispersion with unknown in-control variance. - Baocai Guo; Bing Xing Wang; Yuan Cheng (Comput. Ind. Eng., 2015)

Inference on the Weibull distribution based on record values. - Bing Xing Wang; Zhi-Sheng Ye 001 (Comput. Stat. Data Anal., 2015)

The Design of the ARL-Unbiased S2 Chart When the In-Control Variance Is Estimated. - Baocai Guo; Bing Xing Wang (Qual. Reliab. Eng. Int., 2015)

The Design of the S2 Control Charts Based on Conditional Performance via Exact Methods. - Baocai Guo; Bing Xing Wang (Qual. Reliab. Eng. Int., 2017)

Synthetic exponential control charts with unknown parameter. - Lirong Sun; Bing Xing Wang; Baocai Guo; Min Xie 001 (Commun. Stat. Simul. Comput., 2018)

Inference on the Gamma Distribution. - Bing Xing Wang; Fangtao Wu (Technometrics, 2018)

On Modeling Bivariate Wiener Degradation Process. - Ancha Xu; Lijuan Shen; Bing Xing Wang; Yincai Tang (IEEE Trans. Reliab., 2018)

Reliability analysis for accelerated degradation data based on the Wiener process with random effects. - Xiaofei Wang; Bing Xing Wang; Wenhui Wu 002; Yili Hong 001 (Qual. Reliab. Eng. Int., 2020)

Accurate reliability inference based on Wiener process with random effects for degradation data. - Xiaofei Wang; Bing Xing Wang; Pei-Hua Jiang; Yili Hong 001 (Reliab. Eng. Syst. Saf., 2020)

Degradation data analysis based on gamma process with random effects. - Xiaofei Wang; Bing Xing Wang; Yili Hong 001; Pei-Hua Jiang (Eur. J. Oper. Res., 2021)

Interval estimation for inverse Gaussian distribution. - Xiaofei Wang; Bing Xing Wang; Xin Pan; Yunkai Hu; Yingpei Chen; Junxing Zhou (Qual. Reliab. Eng. Int., 2021)

General Path Models for Degradation Data With Multiple Characteristics and Covariates. - Lu Lu 007; Bing Xing Wang; Yili Hong 001; Zhisheng Ye 001 (Technometrics, 2021)

The prediction intervals of remaining useful life based on constant stress accelerated life test data. - Shuidan Qin; Bing Xing Wang; Wenhui Wu 002; Chao Ma (Eur. J. Oper. Res., 2022)

Inference for constant stress accelerated life test under the proportional reverse hazards lifetime distribution. - Xiaofei Wang; Bing Xing Wang; Wenjuan Liang; Pei-Hua Jiang (Qual. Reliab. Eng. Int., 2022)

The prediction of remaining useful lifetime for the Weibull k-out-of-n load-sharing system. - Shuidan Qin; Bing Xing Wang; Tzong-Ru Tsai; Xiaofei Wang (Reliab. Eng. Syst. Saf., 2023)

Reliability Assessment and Remaining Useful Life Prediction Based on the Inverse Gaussian Step-Stress Accelerated Degradation Data. - Pei-Hua Jiang; Bing Xing Wang; Xiaofei Wang; Tzong-Ru Tsai (IEEE Trans. Reliab., 2024)

Inference for the Johnson S B distribution. - Wenhui Wu; Bing Xing Wang; Xuanxuan Xu; Qingyuan Guan (Commun. Stat. Simul. Comput., 2024)