All Stories

  1. Robust Confidence Intervals for Process Capability Index Based on Cost and Loss Functions With Bootstrap Enhancement

    Article • Quality and Reliability Engineering International, September 2025, Wiley

    Professor Chanseok Park

  2. A new heuristic for the continuous fixed-radius disc cover problem

    Article • Engineering Optimization, July 2024, Taylor & Francis

    Professor Chanseok Park

  3. Parameter estimation of inverse Weibull distribution under competing risks based on the expectation–maximization algorithm

    Article • Quality and Reliability Engineering International, June 2024, Wiley

    Professor Chanseok Park

  4. Parameter Estimation of Birnbaum-Saunders Distribution under Competing Risks Using the Quantile Variant of the Expectation-Maximization Algorithm

    Article • Mathematics, June 2024, MDPI AG

    Professor Chanseok Park

  5. Development of robust confidence intervals for the cost-based process capability index

    Article • Computers & Industrial Engineering, April 2024, Elsevier

    Professor Chanseok Park

  6. Robust confidence intervals for the process capability index C pk with bootstrap improvement

    Article • Quality Engineering, October 2023, Taylor & Francis

    Professor Chanseok Park

  7. Applications of a new loss and cost-based process capability index to electronic industries

    Article • Communications in Statistics Case Studies Data Analysis and Applications, September 2023, Taylor & Francis

    Professor Chanseok Park

  8. Hybrid reliability analysis with incomplete interval data based on adaptive Kriging

    Article • Reliability Engineering & System Safety, September 2023, Elsevier

    Professor Chanseok Park

  9. A Note on Weibull Parameter Estimation with Interval Censoring Using the EM Algorithm

    Article • Mathematics, July 2023, MDPI AG

    Professor Chanseok Park

  10. Development of robust X‐bar charts with unequal sample sizes

    Article • Quality and Reliability Engineering International, June 2023, Wiley

    Professor Chanseok Park

  11. Robust explicit estimators using the power-weighted repeated medians

    Article • Journal of Applied Statistics, June 2023, Taylor & Francis

    Professor Chanseok Park

  12. The Discrete Exponentiated-Chen Model and Its Applications

    Article • Symmetry, June 2023, MDPI AG

    Professor Chanseok Park

  13. Confidence intervals of the process capability index Cpc$C_{pc}$ revisited via modified bootstrap technique and ROC curves

    Article • Quality and Reliability Engineering International, March 2023, Wiley

    Professor Chanseok Park

  14. Improving the efficiency and efficacy of robust sequential bifurcation under data contamination

    Article • Communications in Statistics - Simulation and Computation, January 2023, Taylor & Francis

    Professor Chanseok Park

  15. Robust Model Design by Comparative Evaluation of Clustering Algorithms

    Article • IEEE Access, January 2023, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Chanseok Park

  16. Optimal Plan of Multi-Stress–Strength Reliability Bayesian and Non-Bayesian Methods for the Alpha Power Exponential Model Using Progressive First Failure

    Article • Symmetry, June 2022, MDPI AG

    Prof. Ehab M. Almetwally, Professor Chanseok Park

  17. An active learning Bayesian ensemble surrogate model for structural reliability analysis

    Article • Quality and Reliability Engineering International, June 2022, Wiley

    Professor Chanseok Park

  18. Optimal Design for a Bivariate Step-Stress Accelerated Life Test with Alpha Power Exponential Distribution Based on Type-I Progressive Censored Samples

    Article • Symmetry, April 2022, MDPI AG

    Professor Chanseok Park

  19. Simulation optimization using stochastic kriging with robust statistics

    Article • Journal of the Operational Research Society, March 2022, Taylor & Francis

    Professor Chanseok Park

  20. A Study on Estimating the Parameter of the Truncated Geometric Distribution

    Article • The American Statistician, March 2022, Taylor & Francis

    Professor Chanseok Park

  21. A study on the g and h control charts

    Article • Communication in Statistics- Theory and Methods, February 2022, Taylor & Francis

    Professor Chanseok Park

  22. On the Subrange and Its Application to the R-Chart

    Article • Applied Sciences, December 2021, MDPI AG

    Professor Chanseok Park

  23. Globally Optimal Facility Locations for Continuous-Space Facility Location Problems

    Article • Applied Sciences, August 2021, MDPI AG

    Professor Chanseok Park

  24. Robust Bayesian hierarchical modeling and inference using scale mixtures of normal distributions

    Article • IISE Transactions, May 2021, Taylor & Francis

    Professor Chanseok Park

  25. Load-Sharing Model under Lindley Distribution and Its Parameter Estimation Using the Expectation-Maximization Algorithm

    Article • Entropy, November 2020, MDPI AG

    Professor Chanseok Park

  26. Bayesian hierarchical modelling for process optimisation

    Article • International Journal of Production Research, June 2020, Taylor & Francis

    Professor Chanseok Park

  27. A Study on the X ¯ and S Control Charts with Unequal Sample Sizes

    Article • Mathematics, May 2020, MDPI AG

    Professor Chanseok Park

  28. Investigation of finite-sample properties of robust location and scale estimators

    Article • Communications in Statistics - Simulation and Computation, January 2020, Taylor & Francis

    Professor Chanseok Park

  29. Integration of the variance of quadratic loss for evaluating process performance

    Article • Quality Engineering, August 2019, Taylor & Francis

    Professor Chanseok Park

  30. Bayesian closed-loop robust process design considering model uncertainty and data quality

    Article • IISE Transactions, August 2019, Taylor & Francis

    Professor Chanseok Park

  31. Improved bootstrap confidence intervals for the process capability index Cpk

    Article • Communications in Statistics - Simulation and Computation, December 2018, Taylor & Francis

    Professor Chanseok Park, SANKU DEY

  32. A Note on the Existence of the Location Parameter Estimate of the Three-Parameter Weibull Model Using the Weibull Plot

    Article • Mathematical Problems in Engineering, October 2018, Hindawi Publishing Corporation

    Professor Chanseok Park

  33. A quantile variant of the expectation–maximization algorithm and its application to parameter estimation with interval data

    Article • Journal of Algorithms & Computational Technology, June 2018, SAGE Publications

    Professor Chanseok Park

  34. Ensemble modelling technique for a micro-drilling process based on a two-stage bootstrap

    Article • Engineering Optimization, June 2018, Taylor & Francis

    Professor Chanseok Park

  35. Statistical analysis of parameter estimation of a probabilistic crack initiation model for Alloy 182 weld considering right-censored data and the covariate effect

    Article • Nuclear Engineering and Technology, February 2018, Elsevier

    Professor Chanseok Park

  36. Robust design under normal model departure

    Article • Computers & Industrial Engineering, November 2017, Elsevier

    Professor Chanseok Park

  37. Effects of Cracking Test Conditions on Estimation Uncertainty for Weibull Parameters Considering Time-Dependent Censoring Interval

    Article • Materials, December 2016, MDPI AG

    Professor Chanseok Park

  38. Transmuted gamma-mixed Rayleigh distribution: Properties and estimation with bladder cancer data example

    Article • Model Assisted Statistics and Applications, November 2016, IOS Press

    Prof Devendra Kumar, Professor Chanseok Park

  39. A highly efficient robust design under data contamination

    Article • Computers & Industrial Engineering, March 2016, Elsevier

    Professor Chanseok Park

  40. Bayesian analysis of Birnbaum–Saunders distribution via the generalized ratio-of-uniforms method

    Article • Computational Statistics, December 2015, Springer Science + Business Media

    Professor Chanseok Park

  41. Weighted exponential distribution: properties and different methods of estimation

    Article • Journal of Statistical Computation and Simulation, January 2015, Taylor & Francis

    Professor Chanseok Park

  42. Robust explicit estimation of the two-parameter Birnbaum–Saunders distribution

    Article • Journal of Applied Statistics, October 2013, Taylor & Francis

    Professor Chanseok Park

  43. Determination of the joint confidence region of the optimal operating conditions in robust design by the bootstrap technique

    Article • International Journal of Production Research, August 2013, Taylor & Francis

    Professor Chanseok Park

  44. An ImprovedpChart Based on the Wilson Interval

    Article • Journal of Statistics and Management Systems, March 2013, Taru Publications

    Professor Chanseok Park

  45. Parameter estimation from load-sharing system data using the expectation–maximization algorithm

    Article • IIE Transactions, February 2013, Taylor & Francis

    Professor Chanseok Park

  46. Parameter estimation for the reliability of load-sharing systems

    Article • IIE Transactions, July 2010, Taylor & Francis

    Professor Chanseok Park

  47. A bootstrap control chart for inverse Gaussian percentiles

    Article • Journal of Statistical Computation and Simulation, March 2010, Taylor & Francis

    Professor Chanseok Park

  48. Statistical hypothesis testing for dot-matrix type products

    Article • International Journal of Quality Engineering and Technology, January 2009, Inderscience Publishers

    Professor Chanseok Park

  49. A bootstrap control chart for Birnbaum-Saunders percentiles

    Article • Quality and Reliability Engineering International, August 2008, Wiley

    Professor Chanseok Park

  50. Cumulative Damage Models Based on Gamma Processes

    Article • March 2008, Wiley

    Professor Chanseok Park

  51. Development of a highly efficient and resistant robust design

    Article • International Journal of Production Research, January 2007, Taylor & Francis

    Professor Chanseok Park

  52. A general class of cumulative damage models for materials failure

    Article • Journal of Statistical Planning and Inference, November 2006, Elsevier

    Professor Chanseok Park

  53. Analysis of strength distributions of multi-modal failures using the EM algorithm

    Article • Journal of Statistical Computation and Simulation, July 2006, Taylor & Francis

    Professor Chanseok Park

  54. Development of robust design optimization using incomplete data

    Article • Computers & Industrial Engineering, July 2006, Elsevier

    Professor Chanseok Park

  55. Stochastic Degradation Models With Several Accelerating Variables

    Article • IEEE Transactions on Reliability, June 2006, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Chanseok Park

  56. Nonparametric tests for cause specific hazard rates with censored data for competing risks among several groups

    Article • Journal of Statistical Planning and Inference, May 2006, Elsevier

    Professor Chanseok Park

  57. Accelerated Degradation Models for Failure Based on Geometric Brownian Motion and Gamma Processes

    Article • Lifetime Data Analysis, December 2005, Springer Science + Business Media

    Professor Chanseok Park

  58. New Cumulative Damage Models for Failure Using Stochastic Processes as Initial Damage

    Article • IEEE Transactions on Reliability, September 2005, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Chanseok Park

  59. Parameter Estimation of Incomplete Data in Competing Risks Using the EM Algorithm

    Article • IEEE Transactions on Reliability, June 2005, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Chanseok Park

  60. Robust design modeling and optimization with unbalanced data

    Article • Computers & Industrial Engineering, March 2005, Elsevier

    Professor Chanseok Park

  61. Some variants of minimum disparity estimation

    Article • Computational Statistics & Data Analysis, May 2004, Elsevier

    Professor Chanseok Park

  62. Parametric Inference of Incomplete Data With Competing Risks Among Several Groups

    Article • IEEE Transactions on Reliability, March 2004, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Chanseok Park

  63. Development of Robust Design Under Contaminated and Non-normal Data

    Article • Quality Engineering, April 2003, Taylor & Francis

    Professor Chanseok Park

  64. The generalized kullback-leibler divergence and robust inference

    Article • Journal of Statistical Computation and Simulation, January 2003, Taylor & Francis

    Professor Chanseok Park

  65. Improved power in multinomial goodness-of-fit tests

    Article • DELETED, September 2002, Wiley

    Professor Chanseok Park

  66. Robust predictive distributions based on the penalized blended weight hellinger distance

    Article • Communications in Statistics - Simulation and Computation, January 1997, Taylor & Francis

    Professor Chanseok Park

  67. Robust minimum distance inference based on combined distances

    Article • Communications in Statistics - Simulation and Computation, January 1995, Taylor & Francis

    Professor Chanseok Park