Korea University Department of Statistics

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Professors

교수세부항목
Homepage
Name : Park, Mingue (박 민 규)
Position : Professor
TEL : (02) 3290-2243
E-mail : mpark2@korea.ac.kr
Office : 422 CPSE Bldg.
Research Interests : Design and estimation for sample survey. Public opinion survey. 
Education
Ph.D. in Statistics, Iowa State University, 2002. 
M.S. in Statistics, Korea University, 1996. 
B.A. in Statistics, Korea University, 1994. 
Positions Held

Professor, Department of Statistics, Korea University, March 2014 ~ Present
Associate Professor, Department of Statistics, Korea University, March 2009 ~ Feburary 2014
Visiting Scholar, Department of Statistics, Colorado State University, August 2012 ~ July 2013
Assistant Professor, Department of Statistics, Korea University, September 2006 ~ February 2009

Assistant Professor, Department of Statistics, University of Nebraska at Lincoln, August 2002 ~ August 2006

 

Books • Sampling Design and Inference using SAS, Free Academy, 2016.7
Research Papers

International Academic Journals

•Lee, I. and Park, M. (2017). “Optimal Sampling Design under the Response Homogeneous Group Response Mechanism: A Prediction Approach.” Journal of the Korean Statistical Society. Available at http://dx.doi.org/10.2016/j.jkss.2016.09.001

 

•Kim, G. and Park, M. (2016). “Variance estimation of DEE and regression estimator when a first-phase cluster sample is restratified.” Communications in Statistics - Simulation and Computation. Available at  http://www.tandfonline.com/doi/abs/10.1080/03610918.2015.1071390

 

•Park, M. (2015). “Partially Calibrated Poststratified Weights for Handling Unit Nonresponse.” Communications In Statistics-Theory and Methods. 44, 2983-3000

 

•Park, M and Fuller, W. A. (2012). "Generalized regression estimators." Encyclopedia of Environmetrics 2nd Ed. 1162-1166, John Wiley & Sons Ltd.

 

•Kim, J. K. and Park, M. (2010). "Calibration estimation in survey sampling." The International Statistical Review, 78, 21-39.

 

•Park, M. and Fuller, W. A. (2009). "The mixed model for survey regression estimation." The Journal of Statistical Planning and Inference, 139, 1320-1331.

 

•Park, M. and Cho, H. (2008). "Minimum MSE regression estimator with estimated population quantities of auxiliary variables." Computational Statistics and Data Analysis, 53, 394-404.

 

•Park, M and Choi, B. (2008). "Bias corrected Maximum Likelihood Estimator under the generalized linear model for a binary variable." Communications in Statistics-Simulation and Computation, 37, 1507-1514.

 

•Park, M and Yang, M. (2008). "Ridge Regression Estimation for Survey Samples," Communications in Statistics- Theory and Methods, 37, 532-543.

 

•Yang, M. and Park, M. (2007). "Efficient Crossover Designs With Three Periods," The Journal of Statistical Planning and Inference, 137, 2056-2067.

 

•Park, M. (2006). "Alternative designs for Regression Estimation," Journal of Official Statistics, 22, 541-563.

 

•Park, M. and Fuller, W. A. (2005). "Towards nonnegative regression weights for survey samples," Survey Methodology, 31, 85-93.

 

Domestic Academic Journals

 

•Park, M. (2015). “Nonresponse Adjusted Raking Ratio Estimation.” Communications for statistical applications and methods. 22, 655-664.

 

•Lee, I. and Park, M. (2015). “A Study on Sample Allocation for Stratified Sampling.” The Korean Journal of Applied Statistics. 28, 1047-1061. (In Korean)

 

•Park, M. and Kim, S. (2015). A Case Study on Construction and Use of Longitudinal Weights for Korea Labor Income Panel Survey. Survey Research. 16, (1), 49-71. (In Korean)

 

•Kim, D. and Park, M. (2014). Comparison of Several Micro Matching Methods: Application to the Economic Activity Census and Time Use Survey. Journal of The Korean Data Analysis Society . 16, (5B), 2393-2408. (In Korean)

 

•Kim, G. and Park, M. (2013). A Case Study on the Sampling Design for 2012 Survey on the Employment Status of the Disabled in Business   Journal of The Korean Data Analysis Society . 15, (3B), 1273-1288. (In Korean)

 

•Park, M., Cho, S., Song, J., Kim, O. and Jang, Y. (2012). A Study on the Model Bias of the Estimator under the Quota Sampling Design.    Survey Research . 13, (2) 99-109. (In Korean)

 

•Park, M. (2012). Construction of Non-extreme Weighted Regression Weights for Sample Surveys.   Journal of The Korean Data Analysis Society . 14, 1(A), 1-12.

 

•Park, M. (2012). "Construction of Non-extreme Weighted Regression Weights for Sample Surveys." Journal of The Korean Data Analysis Society, 14, (1), 1-12.

 

•Jang, Y., Cho, S., Song, J., Kim, O. and Park, M. (2011). Effects of Scale Size on Validity, Reliability and Easiness of Response in a Web-based Survey.   Survey Research . 12, (3), 1-23.  (In Korean)

 

•Park, M., Lee, K., Park, H. and Kang, H. (2011). A Study on the Construction of Weights for KYPS.   Survey Research . 12 , (3), 173-186.  (In Korean)

 

•Song, J. and Park, M. (2011). A Study of sample size for two-stage cluster sampling.    The Korean Journal of Applied Statistics . 24, (2), 393-400.   (In Korean)

 

•Park, J., Byun, J. and Park, M. (2010). Construction of Sampling Frames for the 5th Korea National Health and Nutrition Examination Survey.    The Korean Journal of Applied Statistics  23, (5), 923-932. (In Korean)

 

•Song, J. and Park, M. (2010). A Study on the Construction of Weights for Combined Rolling Samples.   Survey Research . 11, (1), 19-41. (In Korean)

 

•Kang, H., Park, S., Kim, J., Kim, I., Lee, D., Hwang, J. and Park, M. (2009). A Case Study on the Construction of the Sampling Frame and Sampling Design for 2008 Seoul Survey.   Survey Research . 10, (3), 157-172.  (In Korean)

 

•Kim, G. and Park, M. (2009). Efficient use of auxiliary information through the stratified sampling and systematic sampling design.   Survey Research . 10, (1), 155-165. (In Korean)

 

•Park, M. (2008). Model-Based Prediction of the Population Proportion and Distribution Function Using a Logistic Regression.   Communications for Statistical Applications and Methods . 15, 783-791.

 

•Kim. G., Park, M. and Oh, S. (2008). A study on the imputation techniques used to impute the missing values for 2007 advertising industry survey,   Journal of The Korean Data Analysis Society . 10, 1483-1493.

 

•Park, M and Johnson, D. (2006). "Use of hot-deck imputation in estimating the population proportions," Applied Statistics,  2, 55-64.

 

 International Academic Conference Proceeding

 

•Fuller, W. A. and Park, M. (2002). "Model weights for regression estimation," 2002 Proceedings of the American Statistical Association, Section on Survey Research Methods[CD-ROM], Alexandria, VA: American Statistical Association