Peer-reviewed Journal Papers

  1. Ouyang, L., S. Zhu, K. Ye, C. Park, and M. Wang (2021). Robust Bayesian hierarchical modeling and inference using scale mixtures of normal distributions. IISE Transactions, To Appear. doi:10.1080/24725854.2021.1912440

  2. Park, C., H. Kim, and M. Wang (2021). Investigation of Finite-Sample Properties of Robust Location and Scale Estimators. Communications in Statistics - Simulation and Computation, To Appear. doi:10.1080/03610918.2019.1699114 [R package]

  3. Ouyang, L., C. Park, Yan Ma, Yizhong Ma, and M. Wang (2021). Bayesian hierarchical modeling for process optimisation. International Journal of Production Research, To Appear. doi:10.1080/00207543.2020.1769873

  4. 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]

  5. 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

  6. 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]

  7. 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.

  8. 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

  9. 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

  10. 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

  11. 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

  12. 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

  13. 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

  14. 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, vol. 2018, Article ID 6056975. doi:10.1155/2018/6056975

  15. 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]

  16. 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/

  17. 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. [Article | R package]

  18. 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

  19. 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

  20. 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

  21. 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

  22. 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

  23. 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

  24. 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

  25. 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

  26. 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

  27. 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

  28. 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

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

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

  31. 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

  32. 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]

  33. 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]

  34. 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.

  35. 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.

  36. 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

  37. 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

  38. 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]

  39. 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

  40. 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]

  41. 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

  42. 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/

  43. 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/

  44. 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]

  45. 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]

  46. 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

  47. 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

  48. 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

  49. Park, C. and A. Basu (2004). Minimum Disparity Estimation: Asymptotic Normality and Breakdown Point Results. Bulletin of Informatics and Cybernetics, 36, 19-33. Web:

  50. 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]

  51. 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

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

  53. 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

  54. 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

  55. 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

  56. 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

  57. 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.

  58. 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

  59. 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