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Marvin K. Nakayama: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Michael Bieber, Michael R. Bartolacci, Jerry Fjermestad, Franz J. Kurfess, Qianhong Liu, Marvin K. Nakayama, Ajaz Rana, Wilhelm Rossak, Richard B. Scherl, Murat M. Tanik, Jason Tsong-Li Wang, Raymond T. Yeh, Peter A. Ng, Richard Sweeney, Fabio Vitali
    Electronic enterprise engineering: an outline of an architecture. [Citation Graph (0, 0)][DBLP]
    ECBS, 1997, pp:376-0 [Conf]
  2. Alvin M. Blum, Ambuj Goyal, Philip Heidelberger, Stephen S. Lavenberg, Marvin K. Nakayama, Perwez Shahabuddin
    Modeling and Analysis of System Dependability Using the System Availability Estimator. [Citation Graph (0, 0)][DBLP]
    FTCS, 1994, pp:137-141 [Conf]
  3. James M. Calvin, Peter W. Glynn, Marvin K. Nakayama
    Steady state simulation analysis: importance sampling using the semi-regenerative method. [Citation Graph (0, 0)][DBLP]
    Winter Simulation Conference, 2001, pp:441-450 [Conf]
  4. James M. Calvin, Peter W. Glynn, Marvin K. Nakayama
    On the small-sample optimality of multiple-regeneration estimators. [Citation Graph (0, 0)][DBLP]
    Winter Simulation Conference, 1999, pp:655-661 [Conf]
  5. James M. Calvin, Marvin K. Nakayama
    Improving standardized time series methods by permuting path segments. [Citation Graph (0, 0)][DBLP]
    Winter Simulation Conference, 2001, pp:348-353 [Conf]
  6. James M. Calvin, Marvin K. Nakayama
    Output analysis: a comparison of output-analysis methods for simulations of processes with multiple regeneration sequences. [Citation Graph (0, 0)][DBLP]
    Winter Simulation Conference, 2002, pp:328-335 [Conf]
  7. James M. Calvin, Marvin K. Nakayama
    Permuted Weighted Area Estimators. [Citation Graph (0, 0)][DBLP]
    Winter Simulation Conference, 2004, pp:721-727 [Conf]
  8. James M. Calvin, Marvin K. Nakayama
    A New Variance-Reduction Technique for Regenerative Simulations of Markov Chains. [Citation Graph (0, 0)][DBLP]
    Winter Simulation Conference, 1997, pp:224-229 [Conf]
  9. James M. Calvin, Marvin K. Nakayama
    Exploiting Multiple Regeneration Sequences in Simulation Output Analysis. [Citation Graph (0, 0)][DBLP]
    Winter Simulation Conference, 1998, pp:695-700 [Conf]
  10. Halim Damerdji, Peter W. Glynn, Marvin K. Nakayama, James R. Wilson
    Selecting the Best System in Transient Simulations with Variances Known. [Citation Graph (0, 0)][DBLP]
    Winter Simulation Conference, 1996, pp:281-286 [Conf]
  11. Halim Damerdji, Marvin K. Nakayama
    Two-Stage Procedures for Multiple Comparisons with a Control in Steady-State Simulations. [Citation Graph (0, 0)][DBLP]
    Winter Simulation Conference, 1996, pp:372-375 [Conf]
  12. Marvin K. Nakayama
    Output analysis: simulation output analysis. [Citation Graph (0, 0)][DBLP]
    Winter Simulation Conference, 2002, pp:23-34 [Conf]
  13. Marvin K. Nakayama
    Output analysis: analysis of simulation output. [Citation Graph (0, 0)][DBLP]
    Winter Simulation Conference, 2003, pp:49-58 [Conf]
  14. Marvin K. Nakayama
    Efficient Methods for Generating Some Exponentially Tilted Random Variates. [Citation Graph (0, 0)][DBLP]
    Winter Simulation Conference, 1992, pp:603-608 [Conf]
  15. Marvin K. Nakayama
    Fast simulation methods for highly dependable systems. [Citation Graph (0, 0)][DBLP]
    Winter Simulation Conference, 1994, pp:221-228 [Conf]
  16. Marvin K. Nakayama
    Selecting the Best System in Steady-State Simulations Using Batch Means. [Citation Graph (0, 0)][DBLP]
    Winter Simulation Conference, 1995, pp:362-366 [Conf]
  17. Perwez Shahabuddin, Marvin K. Nakayama
    Estimation of reliability and its derivatives for large time horizons in Markovian systems. [Citation Graph (0, 0)][DBLP]
    Winter Simulation Conference, 1993, pp:422-429 [Conf]
  18. Marvin K. Nakayama
    Selection and multiple-comparison procedures for regenerative systems. [Citation Graph (0, 0)][DBLP]
    Winter Simulation Conference, 2006, pp:287-293 [Conf]
  19. Marvin K. Nakayama
    Output analysis for simulations. [Citation Graph (0, 0)][DBLP]
    Winter Simulation Conference, 2006, pp:36-46 [Conf]
  20. Marvin K. Nakayama, Bülent Yener
    Optimal information dispersal for probabilistic latency targets. [Citation Graph (0, 0)][DBLP]
    Computer Networks, 2001, v:36, n:5/6, pp:695-707 [Journal]
  21. Victor F. Nicola, Marvin K. Nakayama, Philip Heidelberger, Ambuj Goyal
    Fast Simulation of Highly Dependable Systems with General Failure and Repair Processes. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Computers, 1993, v:42, n:12, pp:1440-1452 [Journal]
  22. James M. Calvin, Marvin K. Nakayama
    Using Permutations in Regenerative Simulations to Reduce Variance. [Citation Graph (0, 0)][DBLP]
    ACM Trans. Model. Comput. Simul., 1998, v:8, n:2, pp:153-193 [Journal]
  23. Halim Damerdji, Marvin K. Nakayama
    Two-Stage Multiple-Comparison Procedures for Steady State Simulations. [Citation Graph (0, 0)][DBLP]
    ACM Trans. Model. Comput. Simul., 1999, v:9, n:1, pp:1-30 [Journal]
  24. Marvin K. Nakayama
    A Characterization of the Simple Failure-Biasing Method for Simulations of Highly Reliable Markovian Systems. [Citation Graph (0, 0)][DBLP]
    ACM Trans. Model. Comput. Simul., 1994, v:4, n:1, pp:52-88 [Journal]
  25. James M. Calvin, Peter W. Glynn, Marvin K. Nakayama
    The semi-regenerative method of simulation output analysis. [Citation Graph (0, 0)][DBLP]
    ACM Trans. Model. Comput. Simul., 2006, v:16, n:3, pp:280-315 [Journal]
  26. James M. Calvin, Marvin K. Nakayama
    Permuted derivative and importance-sampling estimators for regenerative simulations. [Citation Graph (0, 0)][DBLP]
    European Journal of Operational Research, 2004, v:156, n:2, pp:390-414 [Journal]

  27. Constrained RNA Structural Alignment: Algorithms and Application to Motif Detection in the Untranslated Regions of Trypanosoma brucei mRNAs. [Citation Graph (, )][DBLP]


  28. Single-stage multiple-comparison procedure for quantiles and other parameters. [Citation Graph (, )][DBLP]


  29. Run-length variability of two-stage multiple comparisons with the best for steady-state simulations and its implications for choosing first-stage run lengths. [Citation Graph (, )][DBLP]


  30. Statistical analysis of simulation output. [Citation Graph (, )][DBLP]


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