| The efficiency of the second-order nonlinear least squares estimator and its extension M Kim, Y Ma Annals of the Institute of Statistical Mathematics 64, 751-764, 2012 | 17 | 2012 |
| Semiparametric efficient and robust estimation of an unknown symmetric population under arbitrary sample selection bias Y Ma, M Kim, MG Genton Journal of the American Statistical Association 108 (503), 1090-1104, 2013 | 11 | 2013 |
| EMSaov: An R Package for the Analysis of Variance with the Expected Mean Squares and its Shiny Application. HM Choe, M Kim, EK Lee R J. 9 (1), 252, 2017 | 6 | 2017 |
| Semiparametric location estimation under non‐random sampling MG Genton, M Kim, Y Ma Stat 1 (1), 1-11, 2012 | 6 | 2012 |
| Estimation methods and interpretation of competing risk regression models M Kim The Korean Journal of Applied Statistics 29 (7), 1231-1246, 2016 | 5 | 2016 |
| A study on robust regression estimators in heteroscedastic error models N Son, M Kim Journal of the Korean Data and Information Science Society 28 (5), 1191-1204, 2017 | 4 | 2017 |
| Application of functional ANOVA and functional MANOVA M Kim Korean Journal of Applied Statistics 35 (5), 579-591, 2022 | 2 | 2022 |
| Characterization of histone modification patterns and prediction of novel promoters using functional principal component analysis M Kim, S Lin Plos one 15 (5), e0233630, 2020 | 2 | 2020 |
| Independence test of a continuous random variable and a discrete random variable J Yang, M Kim Communications for Statistical Applications and Methods 27 (3), 285-299, 2020 | 2 | 2020 |
| On structural properties of an asymmetric copula family and its statistical implication W Lee, M Kim, JY Ahn Fuzzy Sets and Systems 393, 126-142, 2020 | 1 | 2020 |
| Semiparametric efficient estimators in heteroscedastic error models M Kim, Y Ma Annals of the Institute of Statistical Mathematics 71, 1-28, 2019 | 1 | 2019 |
| Binary regression model using skewed generalized t distributions M Kim The Korean Journal of Applied Statistics 30 (5), 775-791, 2017 | 1 | 2017 |
| Semiparametric approach to logistic model with random intercept M Kim The Korean Journal of Applied Statistics 28 (6), 1121-1131, 2015 | 1 | 2015 |
| Investigating the spatio-temporal variation of hepatitis A in Korea using a Bayesian model J Jeong, M Kim, J Choi Frontiers in Public Health 10, 1085077, 2023 | | 2023 |
| Appropriate use of parametric and nonparametric methods in estimating regression models with various shapes of errors M Kim Stat 12 (1), e606, 2023 | | 2023 |
| 단변량 및 다변량 함수 데이터에 대한 분산분석의 활용 김미정 응용통계연구 35 (5), 579-591, 2022 | | 2022 |
| Invariant causal prediction for time series data: Application to won dollar exchange rate data M Kim The Korean Journal of Applied Statistics 34 (5), 837-848, 2021 | | 2021 |
| Bivariate Copula Transformations Based on Rigid Motions and Distortions 김미정， 이현지， 연보라 리스크 관리연구 28 (3), 119-144, 2017 | | 2017 |
| Korean women wage analysis using selection models MR Jeong, M Kim Journal of the Korean Data and Information Science Society 28 (5), 1077-1085, 2017 | | 2017 |
| Efficient semiparametric estimators for nonlinear regressions and models under sample selection bias MJ Kim Texas A&M University, 2012 | | 2012 |
