Performance of Skart: A Skewness- and Autoregression-Adjusted Batch Means Procedure for Simulation Analysis

Published Online:https://doi.org/10.1287/ijoc.1100.0401

References

  • Billingsley P.Convergence of Probability Measures (1968) (John Wiley & Sons, New York) Google Scholar
  • Chow Y. S., Robbins H. On the asymptotic theory of fixed-width sequential confidence intervals for the mean. Ann. Math. Statist. (1965) 36(2):457–462CrossrefGoogle Scholar
  • Fishman G. S., Yarberry L. S. An implementation of the batch means method. INFORMS J. Comput. (1997) 9(3):296–310LinkGoogle Scholar
  • Lada E. K., Wilson J. R. A wavelet-based spectral procedure for steady-state simulation analysis. Eur. J. Oper. Res. (2006) 174(3):1769–1801CrossrefGoogle Scholar
  • Lada E. K., Steiger N. M., Wilson J. R. Performance evaluation of recent procedures for steady-state simulation analysis. IIE Trans. (2006) 38(9):711–727CrossrefGoogle Scholar
  • Lada E. K., Steiger N. M., Wilson J. R. SBatch: A spaced batch means procedure for steady-state simulation analysis. J. Simulation (2008) 2(3):170–185CrossrefGoogle Scholar
  • Lada E. K., Wilson J. R., Steiger N. M., Joines J. A. Performance of a wavelet-based spectral procedure for steady-state simulation analysis. INFORMS J. Comput. (2007) 19(2):150–160LinkGoogle Scholar
  • Law A. M.Simulation Modeling and Analysis (2007) 4th ed.(McGraw-Hill, Boston) Google Scholar
  • Law A. M., Carson J. S. A sequential procedure for determining the length of a steady-state simulation. Oper. Res. (1979) 27(5):1011–1025LinkGoogle Scholar
  • Maplesoft. Maple 9 Learning Guide (2003) (Waterloo Maple, Toronto) Google Scholar
  • Nádas A. An extension of a theorem of Chow and Robbins on sequential confidence intervals for the mean. Ann. Math. Statist. (1969) 40(2):667–671CrossrefGoogle Scholar
  • Shapiro S. S., Wilk M. B. An analysis of variance test for normality (complete samples). Biometrika (1965) 52(3/4):591–611CrossrefGoogle Scholar
  • Steiger N. M., Wilson J. R. Convergence properties of the batch means method for simulation output analysis. INFORMS J. Comput. (2001) 13(4):277–293LinkGoogle Scholar
  • Steiger N. M., Wilson J. R. An improved batch means procedure for simulation output analysis. Management Sci. (2002) 48(12):1569–1586LinkGoogle Scholar
  • Steiger N. M., Lada E. K., Wilson J. R., Alexopoulos C., Goldsman D., Zouaoui F., Yücesan E., Chen C.-H., Snowdon J. L., Charnes J. M. ASAP2: An improved batch means procedure for simulation output analysis. Proc. 2002 Winter Simulation Conf. Institute of Electrical and Electronics Engineers (2002) Piscataway, NJ:336–344CrossrefGoogle Scholar
  • Steiger N. M., Lada E. K., Wilson J. R., Joines J. A., Alexopoulos C., Goldsman D. ASAP3: A batch means procedure for steady-state simulation analysis. ACM Trans. Model. Comput. Simulation (2005) 15(1):39–73CrossrefGoogle Scholar
  • Tafazzoli A. Skart: A skewness- and autoregression-adjusted batch-means procedure for simulation analysis. (2009) . Ph.D. dissertation, Edward P. Fitts Department of Industrial and Systems Engineering, North Carolina State University, RaleighGoogle Scholar
  • Tafazzoli A., Wilson J. R. Skart: A skewness- and autoregression-adjusted batch-means procedure for simulation analysis. IIE Trans. (2011) 43(2):110–128CrossrefGoogle Scholar
  • Tafazzoli A., Steiger N. M., Wilson J. R. N-Skart: A nonsequential skewness- and autoregression-adjusted batch-means procedure for simulation analysis. IEEE Trans. Automat. Control (2011) 56(2):254–264CrossrefGoogle Scholar
  • Tafazzoli A., Wilson J. R., Lada E. K., Steiger N. M., Mason S. J., Hill R. R., Mönch L., Rose O., Jefferson T., Fowler J. W. Skart: A skewness- and autoregression-adjusted batch-means procedure for simulation analysis. Proc. 2008 Winter Simulation Conf. (2008) Piscataway, NJ:387–395Institute of Electrical and Electronics EngineersCrossrefGoogle Scholar
  • von Neumann J. Distribution of the ratio of the mean square successive difference to the variance. Ann. Math. Statist. (1941) 12(4):367–395CrossrefGoogle Scholar
  • Willink R. A confidence interval and test for the mean of an asymmetric distribution. Comm. Statist. Theory Methods (2005) 34(4):753–766CrossrefGoogle Scholar
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