| Year |
Citation |
Score |
| 2019 |
Wilson S, Alabdulkarim AA, Goldsman D. Green Simulation of Pandemic Disease Propagation Symmetry. 11: 580. DOI: 10.3390/Sym11040580 |
0.419 |
|
| 2019 |
Alexopoulos C, Goldsman D, Mokashi AC, Tien K, Wilson JR. Sequest: A Sequential Procedure for Estimating Quantiles in Steady-State Simulations Operations Research. 67: 1162-1183. DOI: 10.1287/Opre.2018.1829 |
0.518 |
|
| 2019 |
Yaacoub T, Goldsman D, Mei Y, Moustakides GV. Tandem-width sequential confidence intervals for a Bernoulli proportion Sequential Analysis. 38: 163-183. DOI: 10.1080/07474946.2019.1611315 |
0.306 |
|
| 2017 |
Alexopoulos C, Goldsman D, Mokashi AC, Wilson JR. Automated Estimation of Extreme Steady-State Quantiles via the Maximum Transformation Acm Transactions On Modeling and Computer Simulation. 27: 1-29. DOI: 10.1145/3122864 |
0.56 |
|
| 2016 |
Alexopoulos C, Goldsman D, Tang P, Wilson JR. SPSTS: A sequential procedure for estimating the steady-state mean using standardized time series Iie Transactions (Institute of Industrial Engineers). 1-17. DOI: 10.1080/0740817X.2016.1163443 |
0.586 |
|
| 2016 |
Guo H, Goldsman D, Tsui KL, Zhou Y, Wong SY. Using simulation and optimisation to characterise durations of emergency department service times with incomplete data International Journal of Production Research. 1-18. DOI: 10.1080/00207543.2016.1205760 |
0.405 |
|
| 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 |
0.315 |
|
| 2015 |
Meterelliyoz M, Alexopoulos C, Goldsman D, Aktaran-Kalayci T. Reflected variance estimators for simulation Iie Transactions (Institute of Industrial Engineers). 47: 1185-1202. DOI: 10.1080/0740817X.2015.1005776 |
0.783 |
|
| 2015 |
Chen H, Goldsman D, Schmeiser BW, Tsui KL. Symmetric X Charts: Sensitivity to Nonnormality and Control-limit Estimation Communications in Statistics: Simulation and Computation. DOI: 10.1080/03610918.2014.963615 |
0.459 |
|
| 2014 |
Gupta V, Andradóttir S, Goldsman D. Variance estimation and sequential stopping in steady-state simulations using linear regression Acm Transactions On Modeling and Computer Simulation. 24: 7. DOI: 10.1145/2567907 |
0.659 |
|
| 2014 |
Andradóttir S, Chiu W, Goldsman D, Lee ML. Simulation of influenza propagation: Model development, parameter estimation, and mitigation strategies Iie Transactions On Healthcare Systems Engineering. 4: 27-48. DOI: 10.1080/19488300.2014.880093 |
0.358 |
|
| 2013 |
Argon NT, Andradóttir S, Alexopoulos C, Goldsman D. Steady-state simulation with replication-dependent initial transients: Analysis and examples Informs Journal On Computing. 25: 177-191. DOI: 10.1287/Ijoc.1110.0494 |
0.461 |
|
| 2012 |
Popovic R, Goldsman D. Easy Gram-Charlier valuations of options Journal of Derivatives. 20: 79-97. DOI: 10.3905/Jod.2012.20.2.079 |
0.4 |
|
| 2012 |
Meterelliyoz M, Alexopoulos C, Goldsman D. Folded overlapping variance estimators for simulation European Journal of Operational Research. 220: 135-146. DOI: 10.1016/J.Ejor.2012.01.018 |
0.632 |
|
| 2012 |
Popovic R, Goldsman D. On valuing and hedging European options when volatility is estimated directly European Journal of Operational Research. 218: 124-131. DOI: 10.1016/J.Ejor.2011.09.011 |
0.554 |
|
| 2011 |
Benson KC, Pritchett AR, Goldsman D. Embedded Statistical Analysis and Selection Procedures in Air Traffic Simulations Air Traffic Control Quarterly. 19: 269-297. DOI: 10.2514/Atcq.19.4.269 |
0.406 |
|
| 2010 |
Alexopoulos C, Antonini C, Goldsman D, Meterelliyoz M. Performance of folded variance estimators for simulation Acm Transactions On Modeling and Computer Simulation. 20. DOI: 10.1145/1842713.1842714 |
0.652 |
|
| 2010 |
Song W, Chiu W, Liu S, Goldsman D. Importance sampling techniques for estimating the bit error rate in digital communication systems Journal of the Chinese Institute of Industrial Engineers. 27: 1-14. DOI: 10.1080/10170660903507220 |
0.526 |
|
| 2010 |
Lee LH, Chew EP, Teng S, Goldsman D. Finding the non-dominated Pareto set for multi-objective simulation models Iie Transactions. 42: 656-674. DOI: 10.1080/07408171003705367 |
0.373 |
|
| 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 |
0.529 |
|
| 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 |
0.584 |
|
| 2009 |
Antonini C, Alexopoulos C, Goldsman D, Wilson J. Area variance estimators for simulation using folded standardized time series Iie Transactions (Institute of Industrial Engineers). 41: 134-144. DOI: 10.1080/07408170802331268 |
0.658 |
|
| 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 |
0.81 |
|
| 2008 |
Alexopoulos C, Chang BY, Goldsman D, Lee S, Marshall WS. Overcoming negativity problems for Cramér-von Mises variance estimators International Journal of Simulation and Process Modelling. 4: 1-6. DOI: 10.1504/Ijspm.2008.020608 |
0.733 |
|
| 2008 |
Alexopoulos C, Goldsman D, Fontanesi J, Kopald D, Wilson JR. Modeling patient arrivals in community clinics Omega. 36: 33-43. DOI: 10.1016/J.Omega.2005.07.013 |
0.382 |
|
| 2007 |
Alexopoulos C, Argon NT, Goldsman D, Steiger NM, Tokol G, Wilson JR. Efficient Computation of Overlapping Variance Estimators for Simulation Informs Journal On Computing. 19: 314-327. DOI: 10.1287/Ijoc.1060.0198 |
0.639 |
|
| 2007 |
Aktaran-Kalaycı T, Goldsman D, Wilson JR. Linear combinations of overlapping variance estimators for simulation Operations Research Letters. 35: 439-447. DOI: 10.1016/J.Orl.2006.08.007 |
0.646 |
|
| 2007 |
Aktaran-Kalayci T, Alexopoulos C, Argon NT, Goldsman D, Wilson JR. Exact expected values of variance estimators for simulation Naval Research Logistics. 54: 397-410. DOI: 10.1002/Nav.20215 |
0.783 |
|
| 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 |
0.657 |
|
| 2006 |
Lee S, Giles DF, Goldsman D, Cook DA, Mishra N, McCarthy B. Reproductive health services discrete-event simulation. Amia ... Annual Symposium Proceedings / Amia Symposium. Amia Symposium. 1001. PMID 17238620 |
0.464 |
|
| 2006 |
Alexopoulos C, Andradóttir S, Argon NT, Goldsman D. Replicated batch means variance estimators in the presence of an initial transient Acm Transactions On Modeling and Computer Simulation. 16: 317-328. DOI: 10.1145/1176249.1176250 |
0.614 |
|
| 2005 |
Steiger NM, Lada EK, Wilson JR, Joines JA, Alexopoulos C, Goldsman D. ASAP3: a batch means procedure for steady-state simulation analysis Acm Transactions On Modeling and Computer Simulation. 15: 39-73. DOI: 10.1145/1044322.1044325 |
0.56 |
|
| 2004 |
Alexopoulos C, Goldsman D, Argon NT, Tokol G. Overlapping variance estimators for simulations Proceedings - Winter Simulation Conference. 1: 737-745. DOI: 10.1287/Opre.1070.0475 |
0.666 |
|
| 2004 |
Alexopoulos C, Goldsman D. To batch or not to batch? Acm Transactions On Modeling and Computer Simulation. 14: 76-114. DOI: 10.1145/974734.974738 |
0.544 |
|
| 2003 |
Bakhai A, Alexopoulos C, Goldsman D, Alemao E, Deuson R, Cook J, Flather MD. Estimating the cost-effectiveness of tirofiban for acute coronary syndrome patients managed in a relatively low interventional setting: The United Kingdom Journal of the American College of Cardiology. 41: 524. DOI: 10.1016/S0735-1097(03)82817-6 |
0.306 |
|
| 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 |
0.387 |
|
| 2002 |
Sherman M, Goldsman D. Large-sample normality of the batch-means variance estimator Operations Research Letters. 30: 319-326. DOI: 10.1016/S0167-6377(02)00156-6 |
0.427 |
|
| 2001 |
Pritchett AR, Lee SM, Goldsman D. Hybrid-System Simulation for National Airspace System Safety Analysis Journal of Aircraft. 38: 835-840. DOI: 10.2514/2.2868 |
0.375 |
|
| 2001 |
Nelson BL, Swann J, Goldsman D, Song W. Simple Procedures for Selecting the Best Simulated System When the Number of Alternatives is Large Operations Research. 49: 950-963. DOI: 10.1287/Opre.49.6.950.10019 |
0.331 |
|
| 2001 |
Nelson BL, Goldsman D. Comparisons with a Standard in Simulation Experiments Management Science. 47: 449-463. DOI: 10.1287/Mnsc.47.3.449.9778 |
0.436 |
|
| 2001 |
Alexopoulos C, Goldsman D, Tokol G. Properties of Batched Quadratic-Form Variance Parameter Estimators for Simulations Informs Journal On Computing. 13: 149-156. DOI: 10.1287/Ijoc.13.2.149.10518 |
0.629 |
|
| 1999 |
Goldsman D, Kang K, Seila AF. Cramer-Von Mises Variance Estimators for Simulations Operations Research. 47: 299-309. DOI: 10.1287/Opre.47.2.299 |
0.632 |
|
| 1999 |
Foley RD, Goldsman D. Confidence intervals using orthonormally weighted standardized time series Acm Transactions On Modeling and Computer Simulation. 9: 297-325. DOI: 10.1145/352222.352223 |
0.58 |
|
| 1999 |
Ockerman DH, Goldsman D. Student t-tests and compound tests to detect transients in simulated time series European Journal of Operational Research. 116: 681-691. DOI: 10.1016/S0377-2217(98)00233-1 |
0.438 |
|
| 1998 |
Tokol G, Goldsman D, Ockerman DH, Swain JJ. Standardized Time Series L P -Norm Variance Estimators for Simulations Management Science. 44: 234-245. DOI: 10.1287/Mnsc.44.2.234 |
0.625 |
|
| 1997 |
Chien C, Goldsman D, Melamed B. Large-Sample Results for Batch Means Management Science. 43: 1288-1295. DOI: 10.1287/Mnsc.43.9.1288 |
0.566 |
|
| 1997 |
Goldsman D. Simulation in Manufacturing Iie Transactions. 29: 803-804. DOI: 10.1023/A:1018507126189 |
0.355 |
|
| 1995 |
Damerdji H, Goldsman D. Consistency of several variants of the standardized time series area variance estimator Naval Research Logistics. 42: 1161-1176. DOI: 10.1002/1520-6750(199512)42:8<1161::Aid-Nav3220420804>3.0.Co;2-2 |
0.64 |
|
| 1994 |
Goldsman D, Schruben LW, Swain JJ. Tests for transient means in simulated time series Naval Research Logistics. 41: 171-187. DOI: 10.1002/1520-6750(199403)41:2<171::Aid-Nav3220410204>3.0.Co;2-N |
0.716 |
|
| 1992 |
Sargent RG, Kang K, Goldsman D. An investigation of finite-sample behavior of confidence interval estimators Operations Research. 40: 898-913. DOI: 10.1287/Opre.40.5.898 |
0.492 |
|
| 1991 |
Fox BL, Goldsman D, Swain JJ. Spaced batch means Operations Research Letters. 10: 255-263. DOI: 10.1016/0167-6377(91)90011-D |
0.525 |
|
| 1990 |
Goldsman D, Meketon M, Schruben L. Properties of standardized time series weighted area variance estimators Management Science. 36: 602-612. DOI: 10.1287/Mnsc.36.5.602 |
0.77 |
|
| 1990 |
Goldsman D, Schruben L. Note-New Confidence Interval Estimators Using Standardized Time Series Management Science. 36: 393-397. DOI: 10.1287/Mnsc.36.3.393 |
0.765 |
|
| 1990 |
Swain JJ, Goldsman D. Moments of second order polynomials with simulation applications Iie Transactions (Institute of Industrial Engineers). 22: 168-171. DOI: 10.1080/07408179008964169 |
0.354 |
|
| 1990 |
Kang K, Goldsman D. The correlation between mean and variance estimators in computer simulation Iie Transactions. 22: 15-23. DOI: 10.1080/07408179008964153 |
0.646 |
|
| 1990 |
Bechhofer RE, Dunnett CW, Goldsman DM, Hartmann M. A comparison of the performances of procedures for selecting the normal population having the largest mean when the populations have a common unknown variance Communications in Statistics - Simulation and Computation. 19: 971-1006. DOI: 10.1080/03610919008812901 |
0.366 |
|
| 1989 |
Sechhofer RE, Goldsman DM. Truncation of the Bechhofer-Kiefer—Sobel Sequential Procedure for Selecting the Normal Population which has the Largest Mean (III): Supplementary Truncation Numbers and Resulting Performance Characteristics Communications in Statistics - Simulation and Computation. 18: 63-81. DOI: 10.1080/03610918908812747 |
0.373 |
|
| 1988 |
Bechhofer RE, Goldsman DM. Truncation of the bechhofer-kiefer-sobel sequential procelure for selecting the normal population which has the largest mean (II): 2-factor experiments with no interaction Communications in Statistics - Simulation and Computation. 17: 103-128. DOI: 10.1080/03610918808812651 |
0.312 |
|
| 1987 |
Bechhofer RE, Goldsman DM. Truncation of the bechhofer-kiefer-sobel sequential procedure for selecting the normal population which has the largest mean Communications in Statistics - Simulation and Computation. 16: 1067-1092. DOI: 10.1080/03610918708812637 |
0.381 |
|
| 1986 |
Bechhofer RE, Goldsman DM. Truncation of the bechhofer-kiefer-sobel sequential procedure for selecting the multinomial event which has the largest probability (II): Extended tables and an improved procedure Communications in Statistics - Simulation and Computation. 15: 829-851. DOI: 10.1080/03610918608812545 |
0.332 |
|
| 1985 |
Bechhofer RE, Goldsman DM. Truncation of the Bechhofer-Kiefer-Sobel Sequential Procedure for Selecting the Multjnomial Event Which has the Largest Probability Communications in Statistics - Simulation and Computation. 14: 283-315. DOI: 10.1080/03610918508812441 |
0.339 |
|
| 1985 |
Bechhofer RE, Goldsman DM. On the Ramey-Alam Sequential Procedure for Selecting the Multinomial Event Which has the Largest Probability Communications in Statistics - Simulation and Computation. 14: 263-282. DOI: 10.1080/03610918508812440 |
0.308 |
|
| 1984 |
Goldsman D, Schruben L. Asymptotic Properties of Some Confidence Interval Estimators for Simulation Output Management Science. 30: 1217-1225. DOI: 10.1287/Mnsc.30.10.1217 |
0.798 |
|
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