Chanseok PARK

Chanseok PARK

Professor of Industrial Engineering at Pusan National University.

Publication List

Recent Publications

  1. Xie, E., C. Park, L. Liu, J. Zhou, Y. Ma (2024). Improving the efficiency and efficacy of robust sequential bifurcation under data contamination. Communications in Statistics - Theory and Methods To Appear. doi:10.1080/03610918.2023.2170416

  2. Chen, X., X. Gao, C. Li, and C. Park (2024). A new heuristic for the continuous fixed-radius disk cover problem. Engineering Optimization To Appear. doi:10.1080/0305215X.2024.2368609

  3. Alotaibi, R., H. Rezk, and C. Park (2024). Parameter Estimation of Inverse Weibull Distribution Under Competing Risks based on the Expectation-Maximization Algorithm. Quality and Reliability Engineering International To Appear. doi:10.1002/qre.3599 [R Code]

  4. Gao, X., Z. Chen, B. Kim, and C. Park (2024). A Note on Location Parameter Estimation using the Weighted Hodges-Lehmann Estimator. Industrial Engineering & Management Systems To Appear.

  5. Ouyang, L., S. Dey, and C. Park (2024). Robust Confidence Intervals for the Process Capability Index Cpk with Bootstrap Improvement. Quality Engineering 36(3), 624-637. doi:10.1080/08982112.2023.2263523

  6. Park, C., X. Gao, and M. Wang (2024). Robust explicit estimators using the power-weighted repeated medians. Journal of Applied Statistics 51(8), 1590-1608. doi:10.1080/02664763.2023.2229969 [R Code]

  7. Park, C. and M. Wang (2024). Parameter Estimation of Birnbaum-Saunders Distribution Under Competing Risks Using the Quantile Variant of the Expectation-Maximization Algorithm. Mathematics 12(11), 1757. doi:10.3390/math12111757 [R Code]

  8. Ouyang, L., S. Dey, and C. Park (2024). Development of robust confidence intervals for the cost-based process capability index. Computers & Industrial Engineering 190, 110048. doi:10.1016/j.cie.2024.110048

  9. Ouyang, L., Y. Che, C. Park, Y. Chen (2024). A novel active learning Gaussian process modeling-based method for time-dependent reliability analysis considering mixed variables. Reliability Engineering & System Safety 244, 109916. doi:10.1016/j.ress.2023.109916