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A spectral method for confidence interval generation and run length control in simulations
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Communications of the ACM archive
Volume 24 ,  Issue 4  (April 1981) table of contents
Special issue on simulation modeling and statistical computing
Pages: 233 - 245  
Year of Publication: 1981
ISSN:0001-0782
Authors
Philip Heidelberger  IBM Thomas J. Watson Research Center, Yorktown Heights, NY
Peter D. Welch  IBM Thomas J. Watson Research Center, Yorktown Heights, NY
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 17,   Downloads (12 Months): 77,   Citation Count: 46
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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
Bartlett, M.S. and Kendall, D.G. The statistical analysis of variance heterogeneity and the logarithmic transformation. J. Roy. Statist. Soc. (Suppl.), 8, 1 (1946), 128-138.
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Cooley, J.W., Lewis, P.A.W., and Welch, P.D. The finite Fourier transform. IEEE Trans. Audio Electroacoust. 17, 2 (June 1969), 77- 85.
 
5
Cooley, J.W., Lewis, P.A.W., and Welch, P.D. The application of the fast Fourier transform to the estimation of spectra and cross spectra. J. Sound Vib. 12, 3 (1970), 339-352.
 
6
Duket, S.D. and Pritsker, A.A.B. Examination of simulation output using spectral methods. Math. Compt. Simulation. 20, (1978), 53-60.
 
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8
Iglehart, D.L. The regenerative method for simulation analysis. In Current Trends in Programming Methodology, Vol. 111: Software Engineering. K.M. Chandy and R.T. Yeh (Eds,), Prentice-Hall, Englewood Cliffs, N.J., 1978.
 
9
Jenkins, G.M. and Watts, D.G. SpectralAnalysis and Its Applications. Holden Day, San Francisco, 1968.
 
10
Lavenberg, S.S. and Sauer, C.H. Sequential stopping rules for the regenerative method of simulation. IBM J. Res. Develop. 21, 6 (Nov. 1977), 545-558.
 
11
Law, A.M. and Carson, J.S. A sequential procedure for determining the length of a steady-state simulation. Operations Res. 27, 5 (Sept.-Oct. 1979), 1011-1025.
 
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13
Mood, A.M., Graybill, F.A., and Boes, D.C. Introduction to the Theory of Statistics, 3rd Ed. McGraw-Hill, New York, 1974.
 
14
Olshen, R.A. Asymptotic properties of the periodogram of a discrete stationary process. J. Appl. Probability 4, (1967), 508-528.
 
15
Sauer, C.H. and MacNair, E.A. Queueing network software for systems modelling. Software Practice and Experience 9, 5 (May 1979), 360-380.
 
16
Wahba, G. Automatic smoothing of the log periodogram. J. Am. Statist. Assoc. 75, 369 (March 1980), 122-132.
 
17
Walker, A.M. Some asymptotic results for the periodogram of a stationary time series. J. Austral. Math. Soc. 5, (1965), 107-128.

CITED BY  46

Collaborative Colleagues:
Philip Heidelberger: colleagues
Peter D. Welch: colleagues