Y. Lim

发表

Design and analysis of computer experiments when the output is highly correlated over the input space

W. J. Studden, J. Sacks, W. Welch, 2002 .

D-optimal design for cubic polynomial regression on the q-simplex

Y. Lim, Yong B. Lim, 1990 .

A note on the optimal number of centre runs in a second phase design of response surface methods

Y. Lim, B. So, 2001 .

D-optimality criterion for weighting variables in K-means clustering

Y. Lim, Myung-Hoe Huh, Y. J. Park, 2009 .

Hybrid Approach When Multiple Objectives Exist

Youngil Kim, Yong-Bin Lim, Youngil Kim, 2007 .

Admissible and optimal exact designs for polynomial regression

W. J. Studden, William J. Studden, Y. Lim, 1987 .

A Case Study for Finding an Efficient M&S Meta Model through Sequential Response Surface Methodology

Sang-Ik Kim, Jeong-Eun Kim, Yong-Bin Lim, 2012 .

A Note on Approximate D-Optimal Designs for G × 2 M

W. J. Studden, H. Wynn, Y. Lim, 1988 .

A new score test for unit roots in heterogeneous panels — Residual likelihood approach

Yujin Oh, Yong Bin Lim, Y. Lim, 2010 .

Literature Review on the Experimental Designs in KSQM for 50 Years

Dae Heung Jang, Sang Bok Lee, Yong Bin Lim, 2016 .

A modified LGB method for detecting significant effects based on a half-normal probability plot

Y. Lim, J. Chung, 2019 .

Finding Cost-Effective Mixtures Robust to Noise Variables in Mixture-Process Experiments

Y. Lim, 2014 .

Mixture response surface methodology for improving the current operating condition

Yong B. Lim, Y. Lim, 2009 .

Bayesian analysis of time series Poisson data

Man-Suk Oh, Y. Lim, 2001 .

Efficient $D_s$-Optimal Designs for Multivariate Polynomial Regression on the $q$-Cube

W. J. Studden, Y. Lim, Yong B. Lim, 1988 .