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The threshold bootstrap: a new approach to simulation output analysis
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Source Winter Simulation Conference archive
Proceedings of the 25th conference on Winter simulation table of contents
Los Angeles, California, United States
Pages: 498 - 502  
Year of Publication: 1993
ISBN:0-7803-1381-X
Authors
Y. B. Kim  Department of Mathematics, New Mexico Institute of Mining and Technology, Socorro, NM
T. R. Willemain  Department of Decision Sciences and Engineering Systems, Rensselaer Polytechnic Institute, Troy, NY
J. Haddock  Department of Decision Sciences and Engineering Systems, Rensselaer Polytechnic Institute, Troy, NY
G. C. Runger  Department of Decision Sciences and Engineering Systems, Rensselaer Polytechnic Institute, Troy, NY
Sponsors
IEEE-CS : Computer Society
IEEE-SMCS : Systems, Man & Cybernetics Society
ACM: Association for Computing Machinery
ORSA : Operations Research Society of America
SIGSIM: ACM Special Interest Group on Simulation and Modeling
IIE : Institute of Industrial Engineers
SCS : Society for Computer Simulation
ASA : American Statistical Association
NIST : National Institue of Standards & Technology
TIMS/CSG :
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 3,   Downloads (12 Months): 23,   Citation Count: 5
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REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
Efron, B. 1982. The Jackknife, the Bootstrap and Other Resampling Plans, CBMS:NSF, Philadelphia.
 
2
Kim, Y. B. 1992. Output Analysis of Single Replication Methods in Simulation Experiments, Ph.D. Dissertation, Department of Decision Sciences, Rensselaer Polytechnic Institute, Troy, NY.
 
3
Kim, Y. B., J. Haddock, and T. R. Willemain. 1993. "The Binary Bootstrap: Inference with Autocorrelated Binary Data", Comm. Stat: Simulation and Computation, 22, 205-216.
 
4
K~insch, H. R. 1989. "The Jackknife and the Bootstrap for General Stationary Observations", Ann. Statist., 17, 1217-1241.
 
5
Liu, R., and K. Singh. 1992. Moving Blocks Jackknife and Bootstrap Captm'e Weak Dependence. In Exploring the Limits of Bootstrap. R. LePage and L. Billard (eds.). Wiley, New York.
 
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8
Politis, D. N. and J. P. Romano. 1992. The Stationary Bootstrap. In Exploring the Limits of Bootstrap. R. LcPage and L. Billard (eds.). Wiley, New York.
 
9
 
10
Thorns, L. A. and W. R. Schucany. 1990. "Bootstrap Prediction Intervals for Autoregression", J. Amer. Statist. Assoc., 85, 486-492.
 
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Collaborative Colleagues:
Y. B. Kim: colleagues
T. R. Willemain: colleagues
J. Haddock: colleagues
G. C. Runger: colleagues