Awards

  • Jiangsu Provincial Double-Innovation Doctor Program, 2022

Full Publication List

Selected Publications

Zhang, W., Zhu, X., He, M., & Balakrishnan, N. (2024). Reliability test for degradation data based on ranked set sampling. Quality and Reliability Engineering International.
Bai, X., Zhang, J., He, M., & Balakrishnan, N. (2023). Inference for stress–strength reliability of multi-state system with dependent stresses and strengths using improved generalized survival signature. Journal of Computational and Applied Mathematics, 420, 114809.
Guo, W., Balakrishnan, N., & He, M. (2023). Envelope-based sparse reduced-rank regression for multivariate linear model. Journal of Multivariate Analysis, 195, 105159.
Liu, K., Balakrishnan, N., & He, M. (2023). Generalized birnbaum–saunders mixture cure frailty model: Inferential method and an application to bone marrow transplant data. Communications in Statistics-Simulation and Computation, 52(11), 5655–5679.
Liu, K., Balakrishnan, N., He, M., & Xie, L. (2023). Likelihood inference for birnbaum–saunders frailty model with an application to bone marrow transplant data. Journal of Statistical Computation and Simulation, 93(13), 2158–2175.
Bai, X., Li, X., Balakrishnan, N., & He, M. (2022). Reliability analysis for dependent stress-strength reliability of multi-state system using improved generalized survival signature. Computers & Industrial Engineering, 165, 107941.
Bai, X., Li, X., Balakrishnan, N., & He, M. (2021). Statistical inference for dependent stress–strength reliability of multi-state system using generalized survival signature. Journal of Computational and Applied Mathematics, 390, 113316.
Balakrishnan, N., & He, M. (2021). A record-based transmuted family of distributions. Advances in Statistics-Theory and Applications: Honoring the Contributions of Barry C. Arnold in Statistical Science, 3–24.
Zhu, X., Liu, K., He, M., & Balakrishnan, N. (2021). Reliability estimation for one-shot devices under cyclic accelerated life-testing. Reliability Engineering & System Safety, 212, 107595.