Permuted Standardized Time Series for Steady-State Simulations

Published Online:https://doi.org/10.1287/moor.1050.0183

References

  • Billingsley P.Convergence of Probability Measures (1968) 2nd ed.(John Wiley & Sons, New York) Google Scholar
  • Breiman L.Probability (1992) (SIAM, Philadelphia, PA) CrossrefGoogle Scholar
  • Calvin J. M., Nakayama M. K. Using permutations in regenerative simulations to reduce variance. ACM Trans. Modeling Comput. Simulation (1998) 8:153–193CrossrefGoogle Scholar
  • Calvin J. M., Nakayama M. K. Central limit theorems for permuted regenerative estimators. Oper. Res. (2000) 48:776–787LinkGoogle Scholar
  • Calvin J. M., Nakayama M. K., Medeiros D. J., Peters B. A., Smith J. S., Rohrer M. W. Improving standardized time series methods by permuting path segments. Proc. 2001 Winter Simulation Conf. IEEE (2001) Piscataway, NJ:348–353Google Scholar
  • Calvin J. M., Nakayama M. K., Smith J. S., Ingalls R. G., Rossetti M. D., Peter B. A. Permuted weighted area estimators. Proc. 2004 Winter Simulation Conf. IEEE (2004) Piscataway, NJ:721–727Google Scholar
  • Glynn P. W., Iglehart D. L. Simulation output analysis using standardized time series. Math. Oper. Res. (1990) 14:1–16LinkGoogle Scholar
  • Goldsman D., Schruben L. W. Properties of standardized time series weighted area variance estimators. Management Sci. (1984) 30:1217–1225LinkGoogle Scholar
  • Goldsman D., Schruben L. W. New confidence interval estimators using standardized time series. Management Sci. (1990) 36:393–397LinkGoogle Scholar
  • Law A. M., Kelton W. D. Simulation modeling and analysis. (1992) 3rd ed.(McGraw-Hill, New York) Google Scholar
  • Schruben L. W. Confidence interval estimation using standardized time series. Oper. Res. (1983) 31:1090–1108LinkGoogle Scholar
  • Shepp L. A. The joint density of the maximum and its location for a Wiener process with drift. J. Appl. Probab. (1979) 31:423–427CrossrefGoogle Scholar
  • Tokol G., Goldsman D., Ockerman D. H., Swain J. J. Standardized time series Lp-norm variance estimators for simulation. Management Sci. (1998) 44:234–245LinkGoogle Scholar
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