Publications

Refereed Journal Papers 

• Kim, H. J. and Lee, J. (2024). Monitoring the asymmetry parameter of a skew-normal distribution, Communications for Statistical Applications and Methods, Vol. 31, No. 1, pp. 129–142.

• Lee, J. W. and Lee, J. (2023). A social network monitoring procedure based on community statistics, The Korean Journal of Applied Statistics, Vol. 36, No. 5, pp. 399-413.

• Ji, P. and Lee, J. (2023). Performance comparison of procedures for monitoring autocorrelated processes based on classification and forecasting, Journal of the Korean Data & Information Science Society, Vol. 34, No. 5, pp. 775-789.

• Kim, Y. and Lee, J. (2022). EWMA control charts for monitoring three parameter regions, The Korean Journal of Applied Statistics, Vol. 35, No. 6, pp. 725-737.

• Park, C. and Lee, J. (2022). Monitoring profiles in multistage processes using the multivariate multiple regression model, Quality and Reliability Engineering International, Vol. 38, No. 7, pp. 3437-3450.

• Lee, J. W. and Lee, J. (2022). Monitoring social networks based on transformation into categorical data, Communications for Statistical Applications and Methods, Vol. 29, No. 4, pp. 487-498.

• Hong, H., Lee, J. W., and Lee, J. (2022). Social network monitoring procedure based on partitioned networks, The Korean Journal of Applied Statistics, Vol. 35, No. 2, pp. 299-310.

• Lee, S. and Lee, J. (2022). Monitoring procedure of autocorrelated processes using the deep learning-based LSTM model, Journal of the Korean Data & Information Science Society, Vol. 33, No. 2, pp. 237-248.

• Choi, M. and Lee, J. (2021). CUSUM charts for monitoring type I right -censored lognormal lifetime data, The Korean Journal of Applied Statistics, Vol. 34, No. 5, pp. 735-744. 

• Lee, J. W. and Lee, J. (2021). Self-starting monitoring procedure for the dynamic degree corrected stochastic block model, The Korean Journal of Applied Statistics, Vol. 34, No. 1, pp. 25-38. 

• Kim, M. and Lee, J. (2020). Performance of CCC-r charts with bootstrap adjusted control limits, The Korean Journal of Applied Statistics, Vol. 33, No. 4, pp. 451-466. 

• Hong, H. J. and Lee, J. (2020). Performance of the combined Xbar-S2 chart according to determining individual control limits, The Korean Journal of Applied Statistics, Vol. 33, No. 2, pp. 161-170. 

• Kim, M. and Lee, J. (2020). Geometric charts with bootstrap-based control limits using the Bayes estimator, Communications for Statistical Applications and Methods, Vol. 27, No. 1, pp. 65-77. 

• Jung, H., Choi, M., and Lee, J. (2020). Adaptive control limits for risk-adjusted Bernoulli CUSUM charts, Journal of the Korean Data & Information Science Society, Vol. 31, No. 1, pp. 1-13. 

• Lee, J. and Woodall, W. H. (2018). A note on GLR charts for monitoring count processes, Quality and Reliability Engineering International, Vol. 34, No. 6, pp. 1041-1044. 

• Kim, J., Kim, M., and Lee, J. (2018). The in-control performance of the CCC-r chart with estimated parameters, The Korean Journal of Applied Statistics, Vol. 31, No. 4, pp. 485-495. 

• Lee, J. W., Kim, M., and Lee, J. (2018). The in-control performance of self-starting EWMA and Xbar charts, Journal of the Korean Data & Information Science Society, Vol. 29, No. 4, pp. 851-860. 

• Han, S. W., Lee, J., and Park, J. (2018). A Bernoulli GLR chart based on Bayes estimator, Journal of the Korean Data & Information Science Society, Vol. 29, No. 1, pp. 37-47. 

• Lee, J., Peng, Y., Wang, N., and Reynolds, M. R., Jr. (2017). A GLR Control Chart for Monitoring a Multinomial Process, Quality and Reliability Engineering International, Vol. 33, No. 8, 1773-1782. 

• Han, S. W. and Lee, J. (2017). A Generalized Likelihood Ratio Chart for Monitoring Type I Right-censored Weibull Lifetimes, The Korean Journal of Applied Statistics, Vol. 30, No. 5, pp. 647-663. 

• Lee, J. H., Yoon, H., Lee, S., and Lee, J. (2017). Resizing Effect of Image and ROI in Using Control Charts to Monitor Image Data, The Korean Journal of Applied Statistics, Vol. 30, No. 3, pp. 487-501. 

• Lee, S. and Lee, J. (2017). Optimal Design of a Nonparametric Shewhart-Lepage Control Chart, Journal of the Korean Data & Information Science Society, Vol. 28, No. 2, pp. 339-348. 

• Lee, Y. and Lee, J. (2016). The Effect of Parameter Estimation on Xbar Charts Based on the Median Run Length, Journal of the Korean Data & Information Science Society, Vol. 27. No. 6, pp. 1487-1498. 

• Choi, M.-J. and Lee, J. (2016). A Binomial CUSUM Chart for Monitoring Type I Right-censored Weibull Lifetimes, The Korean Journal of Applied Statistics, Vol. 29, No. 5, pp. 823-833. 

• Hong, H. and Lee, J. (2015). Comparisons of the Performance with Bayes Estimator and MLE for Control Charts Based on Geometric Distribution, The Korean Journal of Applied Statistics, Vol. 28, No. 5, pp. 907-920. 

• Kim, B. J. and Lee, J. (2015). Adjustment of Control Limits for Geometric Charts, Communications for Statistical Applications and Methods, Vol. 22, No. 5, pp. 519–530. 

• Jung, K. Y. and Lee, J. (2015). Multivariate Process Control Procedure Using a Decision Tree Learning Technique, Journal of the Korean Data & Information Science Society, Vol. 26, No. 3, pp. 639–652. 

• Lee, J. and Park, J. (2014). Poisson GLR Control Charts, The Korean Journal of Applied Statistics, Vol. 27, No. 5, pp. 787-796. 

• Choi, M. L. and Lee, J. (2014). A GLR Chart for Monitoring a Zero-Inflated Poisson Process, The Korean Journal of Applied Statistics, Vol. 27, No. 2, pp. 345-355. 

• Choi, M. L. and Lee, J. (2014). GLR Charts for Simultaneously Monitoring a Sustained Shift and a Linear Drift in the Process Mean, Communications for Statistical Applications and Methods, Vol. 21, No. 1, pp. 69-80. 

• Lee, J., Wang, N., Xu, L., Schuh, A., and Woodall, W. H. (2013). The Effect of Parameter Estimation on Upper-sided Bernoulli Cumulative Sum Charts, Quality and Reliability Engineering International, Vol. 29, No. 5, pp. 639-651. 

• Reynolds, M. R., Jr., Lou, J., Lee J., and Wang, S. (2013). The Design of GLR Control Charts for Monitoring the Process Mean and Variance, Journal of Quality Technology, Vol. 45, No. 1, pp. 34-60. 

• Lee, J. (2012). Optimal Design of a EWMA Chart to Monitor the Normal Process Mean, The Korean Journal of Applied Statistics, Vol. 25, No. 3, pp. 465-470. 

• Lee, J. (2011). Comparison of Monitoring the Output Variable and the Input Variable in the Integrated Process Control, Journal of the Korean Data & Information Science Society, Vol. 22, No. 4, pp. 679-690. 

• Lee, J. and Kim, M. (2010). Procedure for Monitoring Special Causes and Readjustment in ARMA(1,1) Noise Model, Journal of the Korean Data & Information Science Society, Vol. 21, No. 5, pp. 841-852. 

• Chun, G. and Lee, J. (2010). Design of the GLR Chart in Integrated Process Control, Communications of the Korean Statistics Society, Vol. 17, No. 3, pp. 357-365. 

• Park, C. and Lee, J. (2009). A Readjustment Procedure After Signalling in the Integrated Process Control, Communications of the Korean Statistics Society, Vol. 16, No. 3, pp. 429-436. 

• Lee, H. Y. and Lee, J. (2009). Change Point Estimators in Monitoring the Parameters of an IMA(1,1) Model, Journal of the Korean Data & Information Science Society, Vol. 20, No. 2, pp. 435-443. 

• Lee, J., Kim. Y.-H., and Nam, J.-H. (2008). Adaptive Noise Reduction Algorithms based on Statistical Hypotheses Tests, IEEE Transactions on Consumer Electronics, Vol. 54, No. 3, pp. 1406-1414. 

• Jung, S. H. and Lee, J. (2008). Procedures for Monitoring the Process Mean and Variance with One Control Chart, The Korean Journal of Applied Statistics, Vol. 21, No. 3, pp. 509-521. 

• Park, C. and Lee, J. (2008). An Integrated Process Control Scheme Based on the Future Loss, The Korean Journal of Applied Statistics, Vol. 21, No. 2, pp. 247-264. 

• Lee, J. and Lee, H. Y. (2007). Change Point Estimators in Monitoring the Parameters of an AR(1) plus an Additional Random Error Model, Journal of the Korean Data & Information Science Society, Vol. 18, No. 4, pp. 963-972. 

• Lee, J. and Jung, S. H. (2007). Design of Variable Life-Adjusted Display (VLAD) Charts, The Korean Journal of Applied Statistics, Vol. 20, No. 3, pp. 597-604. 

• Lee, J. and Park, C. (2007). Estimation of the Change Point in Monitoring the Process Mean and Variance, Communications in Statistics - Simulation and Computation, Vol. 36, Issue 6, pp. 1333-1345. 

• Lee, J., Han, J. H., and Jung, S. H. (2007). Estimation of the Change Point in Monitoring the Mean of Autocorrelated Processes, Communications of the Korean Statistics Society, Vol. 14, No. 1, pp. 155-167. 

• Lee, J. and Han, J. H. (2005). EWMA Control Charts with Variable Parameter, Journal of the Korean Society for Quality Management, Vol. 33, No. 4, pp. 117-122. 

• Kim. Y.-H. and Lee, J. (2005). Image Feature and Noise Detection Based on Statistical Hypothesis Tests and Their Applications in Noise Reduction, IEEE Transactions on Consumer Electronics, Vol. 51, No. 4, pp. 1367-1378. 

• Lee, J. and Park, C. (2004). A VSR Xbar Chart with Multi-state VSS and 2-state VSI Scheme, Journal of the Korean Society for Quality Management, Vol. 32, No. 4, pp. 252-264. 

• Lee, J. and Yang, W.-Y. (2004). Economic Performance of an EWMA Chart for Monitoring MMSE-Controlled Processes, Journal of the Korean Data & Information Science Society, Vol. 15, No. 2, pp. 285-295. 

• Park, C., Lee, J., and Kim, Y. (2004). Economic Design of a Variable Sampling Rate EWMA Chart, IIE Transactions, Vol. 36, No. 5, pp. 387-399. 

• Lee, J. and Park, C. (2003). Estimation of the Change Point in VSS Xbar Control Charts, Communications of the Korean Statistics Society, Vol. 10, No. 3, pp. 825-833. 

• Lee, J. (2003). Statistical Design of VSS Xbar Charts for Monitoring an AR(1) Process, Journal of the Korean Society for Quality Management, Vol. 31, No. 3, pp. 126-135. 

• Lee, J. (2003). Xbar Control Charts with Variable Sample Sizes and Variable Sampling Intervals, Journal of the Korean Data & Information Science Society, Vol. 14, No. 3, pp. 429-440. 

• Park, C., Lee, J., and Kim, Y. (2002). Comparison for the Economic Performance of Control Charts with the VSI and VSS Features, Journal of the Korean Society for Quality Management, Vol. 30, No. 2, pp. 99-117. 

• Lee, J., Kim, H., Han, J. H., and Cho. K. (2000). The Development and Application of SPC Software, Quality Innovation, Vol. 1, No. 2, pp. 54-61. 

• Lee, J. and Park, C. (2000). Statistical Process Control Procedure for Integral -Controlled Processes, Communications of the Korean Statistics Society, Vol. 7, No. 2, pp. 435-446. 

• Kang, D.-K., Kim. S.-W., and Lee, J. (1999). A Study of Standardization on the Examination for a Diagrammatic Creativity, Korea Society of Design Studies, Vol. 12, No. 2, pp. 121-130. 

• Lee, J. (1998). Optimal Parameters in Automatic Process Control, Communications of the Korean Statistics Society, Vol. 5, No. 2, pp. 361-371. 

• Park, C., Song, M., and Lee, J. (1998). A Generalization of the Discrete Feedback Adjustment by Rational Subgrouping, Journal of the Korean Statistical Society, Vol. 27, No. 2, pp. 237-249. 

• Lee, J. and Park, C. (1997). An Approximation Method for the ARL and the Decision Interval in CUSUM Control Charts, The Korean Journal of Applied Statistics, Vol. 10, No. 2, pp. 385-401. 

• Lee, J., Park, C., and Park, J. (1996). Sequential Sampling Inspection Plans for Defectives, Journal of the Korean Society for Quality Management, Vol. 24, No. 4, pp. 1-13. 

• Park, J., Lee, J., and Kim, B. (1995). On the Fitting ANOVA Models to Unvalanced Data, Communications of the Korean Statistics Society, Vol. 2, No. 1, pp. 48-54. 

• Kim, B., Park, C., Park, Y., and Lee, J. (1994). A Heuristic Approach for Approximating the ARL of the CUSUM Chart, Journal of the Korean Statistical Society, Vol. 23, No. 1, pp. 89-102. 

• Lee, J., Park, C., and Kim, B. (1994). An Estimation Method for the Excess over the Boundaries in the SPRT and Its Applications, Sequential Analysis, Vol. 13, No. 2, pp. 127-143. 

Refereed Proceeding Papers   

• Hong, H. J., Lee, J. W., and Lee, J. (2021). Social network monitoring procedure based on partitioned networks, Autumn Conference, the Korean Statistical Society. 

• Lee, J. W. and Lee, J. (2021). Self-starting control charts for social network surveillance, Autumn Conference, the Korean Statistical Society. 

• Lee, S. J. and Lee, J. (2021). Process monitoring procedure using deep learning-based LSTM and RNN models, Autumn Conference, the Korean Statistical Society. 

• Choi, M. and Lee, J. (2021). CUSUM Charts for Monitoring Type I Right-Censored Lognormal Lifetime Data, Spring Conference, the Korean Statistical Society. 

• Lee, J. (2018). CUSUM and GLR Charts for Monitoring the Scale Parameter of Right-censored Weibull Lifetimes, 2018 Joint Research Conference on Statistics in Quality, Industry, and Technology, Santa Fe, New Mexico. 

• Choi, M.-j., Han, S. W., and Lee, J. (2017). Control Charts for Monitoring Right-Censored Weibull Lifetimes, Spring Conference, the Korean Statistical Society. 

• Kim, B.-J., Hong, H., and Lee, J. (2015). Control Limits Estimation and Performance of the Geometric Chart, Spring Conference, the Korean Statistical Society. 

• Choi, M. L. and Lee, J. (2014). Generalized Likelihood Ratio Charts for Monitoring the Process, Spring Conference, the Korean Statistical Society. 

• Choi, M. L. and Lee, J. (2013). GLR Charts for Simultaneously Monitoring a Sustained Shift and a Linear Drift in the Process Mean, Satellite Meeting on Statistics in Business, Industry and Risk Management, International Statistical Institute. 

• Park, C. and Lee, J. (2013). A Statistical Control Procedure for Multi-stage Processes Using Structural Equation Modeling, Quality & Productivity Research Conference, American Statistical Association. 

• Lee, J., Wang, N., Peng, Y., Sun, L., and Reynolds, M. R., Jr. (2012). GLR Charts for Monitoring Multiple Proportions, Joint Statistical Meetings, American Statistical Association. 

• Park, C. and Lee, J. (2011). Comparison of Monitoring the Output Variable and the Input Variable in the Integrated Process Control, Autumn Conference, the Korean Data & Information Science Society. 

• Park, C. and Lee, J. (2010). The Readjustment Procedure in the Integrated Process Control, Spring Conference, the Korean Statistical Society. 

• Park, C. and Lee, J. (2009). A Readjustment and a Rectifying Action in the Integrated Process Control, Joint Statistical Meetings, American Statistical Association. 

• Park, C. and Lee, J. (2007). An Integrated Process Control Scheme Based on the Future Loss, Autumn Conference, the Korean Statistical Society. 

• Lee, J., Han, J. H., and Jung, S. H. (2006). Estimation of the Change Point in Monitoring the Mean of Autocorrelated Processes, Autumn Conference, the Korean Statistical Society. 

• Lee, J. and Han, J. H. (2005). EWMA Control Charts with Variable Parameter, Autumn Conference, the Korean Statistical Society. 

• Lee, J. and Park, C. (2005). Monitoring with VSR Charts and Change Point Estimation, Spring Conference, the Korean Statistical Society. 

• Lee, J. and Park, C. (2004). A Generalized MLE of the Process Change Point, Spring Conference, the Korean Society for Quality Management. 

• Lee, J. and Park, C. (2003. 10). Estimation of the Change Point in VSR Control Charts, Autumn Conference, the Korean Statistical Society. 

• Lee, J., Park, C., and Chun, S. H. (2002). Comparisons for the Statistical Efficiency of VAR Xbar Charts, Autumn Conference, the Korean Statistical Society. 

• Lee, J. and Park, C. (2002). EWMA Control Charts with Variable Sampling Intervals and Variable Sample Sizes, Spring Conference, the Korean Society for Quality Management. 

• Park, C., Lee, J., and Kim, Y. (2001). Economic Design of a Variable Sampling Rate EWMA Chart, Joint Statistical Meetings, American Statistical Association. 

• Park, C., Lee, J., and Kim, Y. (2000). Economic Design of a VSR EWMA Chart, Spring Conference, the Korean Statistical Society. 

• Lee, J., Kim, H., Cho, K., and Han, J. H. (2000). The Development and Application of SPC Software, Spring Conference, the Korean Statistical Society. 

• Lee, J. and Park, C. (1999). Statistical Process Control Procedure for Integral -Controlled Processes, Autumn Conference, the Korean Society for Quality Management. 

• Reynolds, M. R., JR., Park, C., and Lee, J. (1999). Detection of Special Causes with Bounded Adjustments under an IMA(0,1,1) Disturbance Model, Joint Statistical Meetings, American Statistical Association. 

• Lee, J. (1999). Process Control Procedures for combining SPC and EPC, Summer Conference in Honam and Cheju Branch, the Korean Statistical Society. 

• Lee, J., Kim, H., and Lee, I. (1999). The Development of SPC Software for Small and Medium Enterprises, Spring Conference, the Korean Statistical Society. 

• Park, C. and Lee, J. (1998). Automatic Process Control with Rational Subgrouping, Spring Conference, the Korean Statistical Society. 

• Lee, J. and Park, C. (1996). Calculation for the Characteristics of SPRT for Proportion, Autumn Conference, the Korean Statistical Society. 

• Kim, B. C., Park, C., and Lee, J. (1994). An Estimation Method for the Excess over the Boundaries in the SPRT and Its Applications, Spring Conference, the Korean Statistical Society.