| Year |
Citation |
Score |
| 2019 |
Chen J, Park C, Kim S, Xie Y. To reduce or not to reduce: a study on spatio-temporal surveillance Environmental and Ecological Statistics. 26: 217-238. DOI: 10.1007/S10651-019-00425-4 |
0.333 |
|
| 2015 |
Lee ML, Goldsman D, Kim SH. Robust distribution-free multivariate CUSUM charts for spatiotemporal biosurveillance in the presence of spatial correlation Iie Transactions On Healthcare Systems Engineering. 5: 74-88. DOI: 10.1080/19488300.2015.1017674 |
0.343 |
|
| 2015 |
Healey CM, Andradóttir S, Kim S. A minimal switching procedure for constrained ranking and selection under independent or common random numbers Iie Transactions. 47: 1170-1184. DOI: 10.1080/0740817X.2015.1009198 |
0.416 |
|
| 2015 |
Kim S. A Distribution-freeCUSUMChart for Monitoring Variability of AutocorrelatedProcesses Quality and Reliability Engineering International. 31: 923-934. DOI: 10.1002/Qre.1649 |
0.383 |
|
| 2014 |
Healey C, Andradóttir S, Kim S. Selection Procedures for Simulations with Multiple Constraints under Independent and Correlated Sampling Acm Transactions On Modeling and Computer Simulation. 24: 14. DOI: 10.1145/2567921 |
0.438 |
|
| 2014 |
Park Y, Baek SH, Kim S, Tsui K. Statistical Process Control‐Based Intrusion Detection and Monitoring Quality and Reliability Engineering International. 30: 257-273. DOI: 10.1002/Qre.1494 |
0.315 |
|
| 2013 |
Wang H, Kim S. Reducing the Conservativeness of Fully Sequential Indifference-Zone Procedures Ieee Transactions On Automatic Control. 58: 1613-1619. DOI: 10.1109/Tac.2012.2230832 |
0.389 |
|
| 2013 |
Park C, Telci IT, Kim S, Aral MM. Designing an optimal water quality monitoring network for river systems using constrained discrete optimization via simulation Engineering Optimization. 46: 107-129. DOI: 10.1080/0305215X.2012.748049 |
0.322 |
|
| 2013 |
Healey CM, Andradóttir S, Kim S. Efficient comparison of constrained systems using dormancy European Journal of Operational Research. 224: 340-352. DOI: 10.1016/J.Ejor.2012.08.012 |
0.457 |
|
| 2010 |
Batur D, Kim SH. Finding feasible systems in the presence of constraints on multiple performance measures Acm Transactions On Modeling and Computer Simulation. 20. DOI: 10.1145/1842713.1842716 |
0.403 |
|
| 2010 |
Andradóttir S, Kim S. Fully sequential procedures for comparing constrained systems via simulation Naval Research Logistics. 57: 403-421. DOI: 10.1002/Nav.20408 |
0.401 |
|
| 2009 |
Healey CM, Goldsman D, Kim S. Ranking and Selection Techniques with Overlapping Variance Estimators for Simulations Sequential Analysis. 28: 459-474. DOI: 10.1080/07474940903238334 |
0.397 |
|
| 2009 |
Lee J, Alexopoulos C, Goldsman D, Kim SH, Tsui KL, Wilson JR. Monitoring autocorrelated processes using a distribution-free tabular CUSUM chart with automated variance estimation Iie Transactions (Institute of Industrial Engineers). 41: 979-994. DOI: 10.1080/07408170902906035 |
0.378 |
|
| 2009 |
Batur D, Goldsman D, Kim SH. An improved standardized time series Durbin-Watson variance estimator for steady-state simulation Operations Research Letters. 37: 285-289. DOI: 10.1016/J.Orl.2009.01.014 |
0.321 |
|
| 2007 |
Kim SH, Alexopoulos C, Tsui KL, Wilson JR. A distribution-free tabular CUSUM chart for autocorrelated data Iie Transactions (Institute of Industrial Engineers). 39: 317-330. DOI: 10.1080/07408170600743946 |
0.368 |
|
| 2007 |
Goldsman D, Kang K, Kim S, Seila AF, Tokol G. Combining Standardized Time Series Area and Cramér-von Mises Variance Estimators Naval Research Logistics. 54: 384-396. DOI: 10.1002/Nav.20214 |
0.336 |
|
| 2006 |
Kim S, Nelson BL. On the Asymptotic Validity of Fully Sequential Selection Procedures for Steady-State Simulation Operations Research. 54: 475-488. DOI: 10.1287/Opre.1060.0281 |
0.43 |
|
| 2006 |
Batur D, Kim SH. Fully sequential selection procedures with a parabolic boundary Iie Transactions (Institute of Industrial Engineers). 38: 749-764. DOI: 10.1080/07408170500539105 |
0.465 |
|
| 2006 |
Kim S, Wilson JR. A discussion on ‘Detection of intrusions in information systems by sequential change-point methods’ by Tartakovsky, Rozovskii, Blažek, and Kim Statistical Methodology. 3: 315-319. DOI: 10.1016/J.Stamet.2005.06.006 |
0.351 |
|
| 2005 |
Kim S. Comparison with a standard via fully sequential procedures Acm Transactions On Modeling and Computer Simulation. 15: 155-174. DOI: 10.1145/1060576.1060579 |
0.446 |
|
| 2005 |
Kim S, Nelson BL, Wilson JR. Some Almost-Sure Convergence Properties Useful in Sequential Analysis Sequential Analysis. 24: 411-419. DOI: 10.1080/07474940500311021 |
0.329 |
|
| 2003 |
Boesel J, Nelson BL, Kim S. Using Ranking and Selection to Clean Up after Simulation Optimization Operations Research. 51: 814-825. DOI: 10.1287/Opre.51.5.814.16751 |
0.461 |
|
| 2003 |
Chang W, Kim SH, Vidakovic B. Wavelet-based estimation of a discriminant function Applied Stochastic Models in Business and Industry. 19: 185-198. DOI: 10.1002/Asmb.498 |
0.32 |
|
| 2002 |
Goldsman D, Kim S, Marshall WS, Nelson BL. Ranking and Selection for Steady-State Simulation: Procedures and Perspectives Informs Journal On Computing. 14: 2-19. DOI: 10.1287/Ijoc.14.1.2.7710 |
0.455 |
|
| 2001 |
Kim S, Nelson BL. A fully sequential procedure for indifference-zone selection in simulation Acm Transactions On Modeling and Computer Simulation. 11: 251-273. DOI: 10.1145/502109.502111 |
0.477 |
|
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