All Stories

  1. 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

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

    Article • Quality Engineering, August 2019, Taylor & Francis

    Professor Chanseok Park

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

    Article • IISE Transactions, August 2019, Taylor & Francis

    Professor Chanseok Park

  4. 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

  5. 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

  6. 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

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

    Article • Engineering Optimization, June 2018, Taylor & Francis

    Professor Chanseok Park

  8. 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

  9. Robust design under normal model departure

    Article • Computers & Industrial Engineering, November 2017, Elsevier

    Professor Chanseok Park

  10. 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

  11. 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

  12. A highly efficient robust design under data contamination

    Article • Computers & Industrial Engineering, March 2016, Elsevier

    Professor Chanseok Park

  13. 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

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

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

    Professor Chanseok Park

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

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

    Professor Chanseok Park

  16. 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

  17. An ImprovedpChart Based on the Wilson Interval

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

    Professor Chanseok Park

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

    Article • IIE Transactions, February 2013, Taylor & Francis

    Professor Chanseok Park

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

    Article • IIE Transactions, July 2010, Taylor & Francis

    Professor Chanseok Park

  20. A bootstrap control chart for inverse Gaussian percentiles

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

    Professor Chanseok Park

  21. Statistical hypothesis testing for dot-matrix type products

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

    Professor Chanseok Park

  22. A bootstrap control chart for Birnbaum-Saunders percentiles

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

    Professor Chanseok Park

  23. Cumulative Damage Models Based on Gamma Processes

    Article • March 2008, Wiley

    Professor Chanseok Park

  24. Development of a highly efficient and resistant robust design

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

    Professor Chanseok Park

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

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

    Professor Chanseok Park

  26. 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

  27. Development of robust design optimization using incomplete data

    Article • Computers & Industrial Engineering, July 2006, Elsevier

    Professor Chanseok Park

  28. Stochastic Degradation Models With Several Accelerating Variables

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

    Professor Chanseok Park

  29. 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

  30. 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

  31. 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

  32. 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

  33. Robust design modeling and optimization with unbalanced data

    Article • Computers & Industrial Engineering, March 2005, Elsevier

    Professor Chanseok Park

  34. Some variants of minimum disparity estimation

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

    Professor Chanseok Park

  35. 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

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

    Article • Quality Engineering, April 2003, Taylor & Francis

    Professor Chanseok Park

  37. The generalized kullback-leibler divergence and robust inference

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

    Professor Chanseok Park

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

    Article • DELETED, September 2002, Wiley

    Professor Chanseok Park

  39. 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

  40. Robust minimum distance inference based on combined distances

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

    Professor Chanseok Park