Chanseok PARK

Chanseok PARK

Professor of Industrial Engineering at Pusan National University.

Peer-reviewed Journal Papers

  1. 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

  2. Xie, E., C. Park, L. Liu, J. Zhou, and Y. Ma (2024). Improving the efficiency and efficacy of robust sequential bifurcation under data contamination. Communications in Statistics - Theory and Methods 53(11), 5143-5159. doi:10.1080/03610918.2023.2170416

  3. 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 23(3), 323-341. doi:10.7232/iems.2024.23.3.323

  4. 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 40(7), 3795–3808. doi:10.1002/qre.3599 [R Code]

  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

  10. Dey, S., M. Saha, and C. Park (2023). Applications of a new loss and cost-based process capability index to electronic industries. Communications in Statistics: Case Studies, Data Analysis and Applications 9(4), 351-377. doi:10.1080/23737484.2023.2249850

  11. Park, C., L. Ouyang, and M. Wang (2023). Development of robust X-bar charts with unequal sample sizes. Quality and Reliability Engineering International 39(7), 2975-2994. doi:10.1002/qre.3406

  12. Ouyang, L., S. Dey, J.-H. Byun, and C. Park (2023). Confidence Intervals of the Process Capability Index Cpc revisited via modified Bootstrap Technique and ROC curves. Quality and Reliability Engineering International 39(6), 2162–2184. doi:10.1002/qre.3317

  13. Xiao, T., C. Park, C. Lin, L. Ouyang, and Y. Ma (2023). Hybrid Reliability Analysis with Incomplete Interval Data Based on Adaptive Kriging. Reliability Engineering & System Safety 237, 109362. doi:10.1016/j.ress.2023.109362

  14. Park, C. and M. Wang (2023). A study on the g and h control charts. Communications in Statistics - Theory and Methods 52(20), 7334-7349. doi:10.1080/03610926.2022.2044492

  15. Chen, X., C. Park, X. Gao, and B. Kim (2023). Robust Model Design by Comparative Evaluation of Clustering Algorithms. IEEE Access 11, 88135-88151. doi:10.1109/ACCESS.2023.3306023 [Python]

  16. Park, C. (2023). A Note on Weibull Parameter Estimation with Interval Censoring Using the EM Algorithm. Mathematics 11(14), 3156. doi:10.3390/math11143156 [R Code] [R package]

  17. Alotaibi, R., H. Rezk, C. Park, and A. Elshahhat (2023). The Discrete Exponentiated-Chen Model and Its Applications. Symmetry 15(6), 1278. doi:10.3390/sym15061278

  18. Park, C., L. Ouyang, and M. Wang (2023). A Study on the Performance of the Probability-limit Control Charts based on the Geometric and Negative Binomial Distributions. Computers and Industrial Engineering 180, 109275. doi:10.1016/j.cie.2023.109275

  19. Ouyang, L., M. Han, Y. Ma, M. Wang, and C. Park (2023). Simulation optimization using stochastic kriging with robust statistics. Journal of the Operational Research Society 74(3), 623-636. doi:10.1080/01605682.2022.2055498

  20. Ma, Z., M. Wang, and C. Park (2023). Robust explicit estimation of the log-logistic with applications. Journal of Statistical Theory and Practice 17, 21. doi:10.1007/s42519-023-00322-x

  21. Park, C., M. Wang, and L. Ouyang (2023). Novel robust g and h charts using the generalized Kullback-Leibler divergence. Computers and Industrial Engineering 176, 108951. doi:10.1016/j.cie.2022.108951

  22. Xiao, T., C. Park, L. Ouyang, and Y. Ma (2022). An Active Learning Bayesian Ensemble Surrogate Model for Structural Reliability Analysis. Quality and Reliability Engineering International 38(7) 3579-3597. doi:10.1002/qre.3152

  23. Ouyang, L., Y. Che, L. Yan, and C. Park (2022). Multiple perspectives on analyzing risk factors in FMEA. Computers in industry 141, 103712. doi:10.1016/j.compind.2022.103712

  24. Park, C., M. Wang, and W.-Y. Hwang (2022). Empirical distributions of the robustified t-test statistics. Industrial Engineering & Management Systems 21(3), 432-439. doi:10.7232/iems.2022.21.3.432

  25. Park, C., K. Gou, and M. Wang (2022). A Study on Estimating the Parameter of the Truncated Geometric Distribution. The American Statistician 76(3), 257-261. doi:10.1080/00031305.2022.2034666

  26. Liu, L., J.-H. Byun, C. Park, and Y. Ma (2022). Modified sequential bifurcation for simulation factor screening under skew-normal response model. Computers and Industrial Engineering 169, 108274 doi:10.1016/j.cie.2022.108274

  27. Almetwally, E. M., R. Alotaibi, A. A. Mutairi, C. Park, and H. Rezk (2022). Optimal plan of multi-stress-strength reliability Bayesian and non-Bayesian methods for the alpha power exponential model using progressive first failure. Symmetry 14(7), 1306. doi:10.3390/sym14071306

  28. Park, C., H. Kim, and M. Wang (2022). Investigation of Finite-Sample Properties of Robust Location and Scale Estimators. Communications in Statistics - Simulation and Computation 51(5), 2619-2645. doi:10.1080/03610918.2019.1699114 [R package]

  29. Ouyang, L., S. Zhu, K. Ye, C. Park, and M. Wang (2022). Robust Bayesian hierarchical modeling and inference using scale mixtures of normal distributions. IISE Transactions 54(7), 659-671. doi:10.1080/24725854.2021.1912440

  30. Alotaibi, R., A. A. Mutairi, E. M. Almetwally, C. Park, and H. Rezk (2022). Optimal design for a bivariate step-stress accelerated life test with alpha power exponential distribution based on type-I progressive censored samples. Symmetry 14(4), 830. doi:10.3390/sym14040830

  31. Ma, Z., C. Park, and M. Wang (2022). A robust bootstrap control chart for the log-logistic percentiles. Journal of Statistical Theory and Practice 16, 3. doi:10.1007/s42519-021-00239-3

  32. Xie, E., Y. Ma, L. Ouyang, and C. Park (2021). On the subrange and its application to the R-chart. Applied Sciences 11(24), 11632. doi:10.3390/app112411632

  33. Park, C., L. Ouyang, and M. Wang (2021). Robust g-type quality control charts for monitoring nonconformities. Computers and Industrial Engineering 162, 107765. doi:10.1016/j.cie.2021.107765 [Corrections] [R package]

  34. Gao, X., C. Park, X. Chen, E. Xie, G. Huang, and D. Zhang (2021). Globally optimal facility locations for continuous-space facility location problems. Applied Sciences 11(16), 7321. doi:10.3390/app11167321

  35. Ouyang, L., C. Park, Yan Ma, Yizhong Ma, and M. Wang (2021). Bayesian hierarchical modeling for process optimisation. International Journal of Production Research 59(15), 4649-4669. doi:10.1080/00207543.2020.1769873

  36. Park, C., M. Wang, R. M. Alotaibi, and H. Rezk (2020). Load-Sharing Model under Lindley Distribution and Its Parameter Estimation Using the Expectation-Maximization Algorithm. Entropy 22(11), 1329. doi:10.3390/e22111329 [R Code]

  37. Park, C., S. Dey, L. Ouyang, J.-H. Byun, and M. Leeds (2020). Improved Bootstrap Confidence Intervals for the Process Capability Index Cpk. Communications in Statistics - Simulation and Computation 49(10), 2583-2603. doi:10.1080/03610918.2018.1520877 [R Code]

  38. Park, C. and M. Wang (2020). A study on the X-bar and S control charts with unequal sample sizes. Mathematics 8(5), 698. doi:10.3390/math8050698 [R Code]

  39. Park, C., M. Wang, and W.-Y. Hwang (2020). A study on robustness of the paired sample tests. Industrial Engineering & Management Systems 19(2), 386-397.
    doi:10.7232/iems.2020.19.2.386

  40. Zhang, Y., Y. Ma, C. Park, and J.-H. Byun (2020). Integration of the variance of quadratic loss for evaluating process performance. Quality Engineering 32(1), 46-57. doi:10.1080/08982112.2019.1635698

  41. Ouyang, L., J. Chen, Y. Ma, C. Park, and J. Jin (2020). Bayesian Closed-loop Robust Process Design Considering Model Uncertainty and Data Quality. IISE Transactions 52(3), 288-300. doi:10.1080/24725854.2019.1636428

  42. Wang, D., C. Jiang, and C. Park (2019). Reliability Analysis of Load-Sharing Systems with Memory. Lifetime Data Analysis 25(2), 341-360. doi:10.1007/s10985-018-9425-8

  43. Liu, L., Y. Ma, C. Park, and J.-H. Byun (2019). Robust Sequential Bifurcation for Simulation Factor Screening under Data Contamination. Computers and Industrial Engineering 129, 102-112. doi:10.1016/j.cie.2019.01.017

  44. Ouyang, L., D. Zhou, C. Park, and Y. Tu (2019). Ensemble Modeling Technique for Micro-Drilling Process based on Two-stage Bootstrap. Engineering Optimization 51(3), 503-519. doi:10.1080/0305215X.2018.1472251

  45. Ouyang, L., L. Wan, C. Park, J. Wang, and Y. Ma (2019). Ensemble RBF modeling technique for quality design. Journal of Management Science and Engineering 4(2), 105-118. doi:10.1016/j.jmse.2019.05.005

  46. Park, C. (2018). A Note on the Existence of the Location Parameter Estimate of the Three-Parameter Weibull Model using the Weibull Plot. Mathematical Problems in Engineering 2018, 6056975. doi:10.1155/2018/6056975

  47. Park, C. (2018). A Quantile Variant of the Expectation–Maximization Algorithm and its Application to Parameter Estimation with Interval Data. Journal of Algorithms & Computational Technology 12(3), 253-272. doi:10.1177/1748301818779007 [R Code]

  48. Park, J.P., C. Park, Y.J. Oh, J.H. Kim and C.B. Bahn (2018). Statistical Analysis of Parameter Estimation of a Probabilistic Crack Initiation Model for Alloy 182 Weld Considering Right-Censored Data and the Covariate Effect. Nuclear Engineering and Technology 50(1), 107-115. doi:10.1016/j.net.2017.09.005

  49. Park, C. (2017). Weibullness test (goodness-of-fit test for Weibull) and parameter estimation of the three-parameter Weibull model using the sample correlation coefficient. International Journal of Industrial Engineering: Theory, Applications and Practice 24(4), 376-391. doi:10.23055/ijietap.2017.24.4.2848 [R package]

  50. Park, C., L. Ouyang, J.-H. Byun, and M. Leeds (2017). Robust Design Under Normal Model Departure. Computers and Industrial Engineering 113, 206-220. doi:10.1016/j.cie.2017.09.010

  51. Park, J.P., C. Park, J. Cho, and C.B. Bahn (2017). Effects of Cracking Test Conditions on Estimation Uncertainty for Weibull Parameters Considering Time-Dependent Censoring Interval. Materials 10(1), 3. doi:10.3390/ma10010003

  52. Dey, S., D. Kumar and C. Park (2016). Transmuted Gamma-Mixed Rayleigh Distribution: properties and estimation with bladder cancer data example. Model Assisted Statistics and Applications 11(4), 293-313. doi:10.3233/MAS-160374

  53. Park, C. and M. Leeds (2016). A Highly Efficient Robust Design Under Data Contamination. Computers and Industrial Engineering 93, 131-142. doi:10.1016/j.cie.2015.11.016

  54. Wang, M., X. Sun and C. Park (2016). Bayesian analysis of Birnbaum-Saunders distribution via the generalized ratio-of-uniforms method. Computational Statistics 31(1), 207-225. doi:10.1007/s00180-015-0629-z

  55. Wang, M., C. Park, and X. Sun (2015). Simple Robust Parameter Estimation for the Birnbaum-Saunders Distribution. Journal of Statistical Distributions and Applications 2(14), 1-11. doi:10.1186/s40488-015-0038-4

  56. Dey, S., S. Ali and C. Park (2015). Weighted Exponential Distribution: Properties and Different Methods of Estimation. Journal of Statistical Computation and Simulation 85(18), 3641-3661. doi:10.1080/00949655.2014.992346

  57. Park, C. (2013). Parameter estimation from load-sharing system data using the expectation-maximization algorithm. IIE Transactions 45, 147-163. doi:10.1080/0740817X.2012.669878

  58. Park, C. (2013). Determination of the Joint Confidence Region of Optimal Operating Conditions in Robust Design by Bootstrap Technique. International Journal of Production Research 51, 4695-4703. doi:10.1080/00207543.2013.792963

  59. Park, C. (2013). An Improved p Chart based on the Wilson Interval. Journal of Statistics & Management Systems 16:2-3, 201-221. doi:10.1080/09720510.2013.777576

  60. Wang, M., J. Zhao, X. Sun and C. Park (2013). Robust Explicit Estimation of the Two-parameter Birnbaum-Saunders Distribution. Journal of Applied Statistics 40, 2259-2274. doi:10.1080/02664763.2013.809570

  61. Park, C. and A. Basu (2011). Minimum Disparity Inference based on Tangent Disparities. International Journal of Information and Management Sciences 22, 1 - 25.

  62. Park, C. (2010). Parameter Estimation for the Reliability of Load-Sharing Systems. IIE Transactions 42, 753 - 765. doi:10.1080/07408171003670991 [R Code]

  63. Lio, Y.L. and C. Park (2010). A Bootstrap Control Chart for Inverse Gaussian Percentiles. Journal of Statistical Computation and Simulation 80, 287 - 299. doi:10.1080/00949650802627402

  64. Park, C. (2009). Statistical Hypothesis Testing for Dot-Matrix Type Products. International Journal of Quality Engineering and Technology 1, 27 - 39. doi:10.1504/IJQET.2009.030499 [Corrections]

  65. Lio, Y.L. and C. Park (2008). A Bootstrap Control Chart for Birnbaum-Saunders Percentiles. Quality and Reliability Engineering International 24(5), 585 - 600. doi:10.1002/qre.924 [Corrections]

  66. Park, J.S., W.J. Jang, S.B. Lee and C. Park (2008). Acquisition model for 3D shape measurement data. International Journal of Precision Engineering and Manufacturing 9(4), 16-21.

  67. Lee, S.B., S.J. Lee, S.C. Jun, D.R. Song, J.Y. Jeong, C. Park and W.H. Lee (2008). An experimental study of nonlinear viscoelastic bushing model for torsional mode. Elastomer 43, 25-30.

  68. Lee, S.B., C. Park, and B.R. Cho (2007). Development of a highly efficient and resistant robust design. International Journal of Production Research 45, 157-167. doi:10.1080/00207540600649202

  69. Park, C. and W.J. Padgett (2007). Cumulative damage models for failure with several accelerating variables. Quality Technology & Quantitative Management 4, 17 - 34. doi:10.1080/16843703.2007.11673132

  70. Tiwari, R., K.B. Kulasekera, and C. Park (2006). Nonparametric tests for cause specific hazard rates with censored data in competing risks among several groups. Journal of Statistical Planning and Inference 136, 1718-1745.
    doi:10.1016/j.jspi.2004.12.016 [R Code]

  71. Park, C. and W.J. Padgett, (2006). A general class of cumulative damage models for materials failure. Journal of Statistical Planning and Inference 136, 3783-3801. doi:10.1016/j.jspi.2005.03.009

  72. Park, C. and W.J. Padgett, (2006). Analysis of Strength Distributions of Multi-Modal Failures Using the EM Algorithm. Journal of Statistical Computation and Simulation 76, 619-636. doi:10.1080/10629360500108970 [R Code]

  73. Park, C. and W.J. Padgett (2006). Stochastic Degradation Models with Several Accelerating Variables. IEEE Trans. on Reliability 55, 379-390. doi:10.1109/TR.2006.874937

  74. J.Y. Jeong, J.S. Park, S.J. Kim, S.Y. Lee, W.H. Lee, C. Park, J.P. Hong, and S.B. Lee (2006). An experimental study of automotive bushing for radial mode. Key Engineering Materials 326-328, 1097-1100. doi:10.4028/www.scientific.net/KEM.326-328.1097

  75. Lee, S.B., H. Kim, S. Hur, W. D. Kim, C.S. Woo, and C. Park (2006). A Viscoelastic Model For An Automotive Transmission Rubber Mount. Key Engineering Materials 306-308, 995-1000. doi:10.4028/www.scientific.net/KEM.306-308.995

  76. Lee, S.B. and C. Park (2006). Development of robust design optimization using incomplete data. Computers & Industrial Engineering 50, 345-356. doi:10.1016/j.cie.2006.06.005 [R Code | Corrections]

  77. Park, C. (2005). Parameter Estimation of Incomplete Data in Competing Risks Using the EM Algorithm. IEEE Trans. on Reliability 54, 282-290. doi:10.1109/TR.2005.846360 [R Code]

  78. Park, C. and W.J. Padgett (2005). New Cumulative Damage Models for Failure Using Stochastic Processes as Initial Damage. IEEE Trans. on Reliability 54, 530-540. doi:10.1109/TR.2005.853278

  79. Park, C. and W.J. Padgett (2005). Accelerated degradation models for failure based on geometric Brownian motion and gamma processes. Lifetime Data Analysis 11, 511-527. doi:10.1007/s10985-005-5237-8

  80. Cho, B.R. and C. Park (2005). Robust design modeling and optimization with unbalanced data. Computers & Industrial Engineering 48, 173-180. doi:10.1016/j.cie.2005.01.004

  81. Park, C. and A. Basu (2004). Minimum Disparity Estimation: Asymptotic Normality and Breakdown Point Results. Bulletin of Informatics and Cybernetics 36, 19-33. Web: http://hdl.handle.net/2324/12576

  82. Park, C. and K.B. Kulasekera (2004). Parametric inference of incomplete data with competing risks among several groups. IEEE Trans. on Reliability 53, 11-21. doi:10.1109/TR.2003.821946 [R Code]

  83. Basu, A., C. Park, B.G. Lindsay and H. Li (2004). Some Variants of Minimum Disparity Estimation. Computational Statistics and Data Analysis 45, 741-763. doi:10.1016/S0167-9473(03)00098-7

  84. Kulasekera, K.B. and C. Park (2004). Robust nonparametric regression estimation. Journal of Statistical Theory and Applications 3, 125-133.

  85. Park, C. and A. Basu (2003). The generalized Kullback-Leibler divergence and robust inference. Journal of Statistical Computation and Simulation 73, 311-332. doi:10.1080/0094965021000033477

  86. Park, C. and B.R. Cho. (2003). Development of Robust Design Under Contaminated and Non-Normal Data. Quality Engineering 15, 463-469. doi:10.1081/QEN-120018045

  87. Park, C., A. Basu, and B.G. Lindsay (2002). The Residual Adjustment Function and Weighted Likelihood: A Graphical Interpretation of Robustness of Minimum Disparity Estimators. Computational Statistics and Data Analysis 39, 21-33. doi:10.1016/S0167-9473(01)00047-0

  88. Basu, A., R. Surajit, C. Park and S. Basu (2002). Improved power in multinomial goodness-of-fit tests. Journal of the Royal Statistical Society Series D (The Statistician) 51, 381-393. doi:10.1111/1467-9884.00325

  89. Park, C., A. Basu, and I.R. Harris (2001). Tests of Hypotheses in Multiple Samples based on Penalized Disparities. Journal of the Korean Statistical Society 30, 347-366.

  90. Park, C., I.R. Harris and A. Basu (1997). Robust predictive distributions based on the penalized blended weight Hellinger distance. Communications in Statistics: Simulation and Computations 26, 21-33. doi:10.1080/03610919708813365

  91. Park, C., A. Basu, and S. Basu (1995). Robust Minimum Distance Inference based on Combined Distances. Communications in Statistics: Simulation and Computations 24, 653-673. doi:10.1080/03610919508813265

 

Domestic Journal Papers

  1. Jeong, N. and C. Park (2023). Anomaly Detection using Robust Estimators under Normal Distribution (정규분포 하에서 로버스트 추정량을 이용한 이상치 탐지). Journal of Applied Reliability (신뢰성응용연구) 23(2), 134-143. doi:10.33162/JAR.2023.6.23.2.134

  2. Jeong, N., B. Son, and C. Park (2023). Failure Modes and Reliability Analysis of Mechanical Parts using the EM algorithm. Transactions of the Korean Society of Mechanical Engineers - A 47(4), 385-391. doi:10.3795/KSME-A.2023.47.4.385

  3. Jeong, N. and C. Park (2022). The Development of Robust Estimation Methods for the Weibull Distribution with Contaminated Data (이상치에 대한 와이블 분포의 로버스트 추정법 개발). Journal of Applied Reliability (신뢰성응용연구) 22(4), 374-384. doi:10.33162/JAR.2022.12.22.4.374

  4. Lee, D. and C. Park (2018). On the Generalized Mean Square Error and its Applications. Journal of the Korean Institute of Industrial Engineers 44(2), 102-113. doi:10.7232/JKIIE.2018.44.2.102