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A parametric version of jackknife-after-bootstrap

Published: 01 December 1998 Publication History
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References

[1]
Cheng, R. C. H. 1995. Bootstrap Methods in Computer Simulation Experiments. In Proceedings of the 1995 Winter Simulation Conference, ed. C. Alexopoulos, K. Kang, W. Lilegdon, and D. Goldsman, 171-177. Piscataway, New Jersey: Institute of Electrical and Electronics Engineers.
[2]
Chow, Y. S. and H. Teicher. 1978. Probability Theory. New York: Springer-Verlag.
[3]
DiCiccio, T. J. and M. A. Martin. 1992. Discussion of Jackknife-after-bootstrap standard errors and influence functions. J. Royal. Statist. Soc. B 54:124.
[4]
Efron, B. 1982. The Jackknife, the Bootstrap, and Other Resampling Plans. Philadelphia: SIAM.
[5]
Efron, B. 1992. Jackknife-after-bootstrap standard errors and influence functions. J. Royal. Statist. Soc. B 54:83-127.
[6]
Efron, B. and R. J. Tibshirani. 1993. An Introduction to the Bootstrap. New York: Chapman & Hall.
[7]
Glynn, R W. and D. L. Iglehart. 1989. Importance sampling for stochastic simulation. Management Science 11, 1367-1392.
[8]
Hall, R 1992. The Bootstrap and Edgeworth Expansion. New York: Springer-Verlag.
[9]
Hammersley, J. M. and D. C. Handscomb. 1964. Monte Carlo Methods. London: Chapman & Hall.
[10]
Hesterberg, T. 1988. Advances in importance sampling. Ph.D. thesis Department of Statistics, Stanford University.
[11]
Johns, M. V. 1988. Importance sampling for bootstrap confidence intervals. Journal of the American Statistical Association 403, 709-714.
[12]
Nelson, B. L. 1990. Control-variance remedies. Operations Research 38, 974-992.

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cover image ACM Conferences
WSC '98: Proceedings of the 30th conference on Winter simulation
December 1998
1766 pages

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IEEE Computer Society Press

Washington, DC, United States

Publication History

Published: 01 December 1998

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WSC98
Sponsor:
  • IIE
  • IEEE-SMCS
  • INFORMS/CS
  • ASA
  • ACM
  • SCS
  • SIGSIM
  • IEEE-CS
  • NIST
WSC98: Winter Simulation Conference 1998
December 13 - 16, 1998
D.C., Washington, USA

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WSC '98 Paper Acceptance Rate 164 of 216 submissions, 76%;
Overall Acceptance Rate 3,413 of 5,075 submissions, 67%

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