Abstract
To reduce the effects of initial conditions on the results of a simulation experiment, several authors have proposed startup policies that specify how to minimize the warmup period and identify the trunca tion point beyond which observations are to be re corded and analyzed. Other approaches to this prob- Zem have used results from time-series analysis and queueing theory. This paper surveys research on the simulation startup problem; a companion paper which follows presents a procedure for evaluating startup policies when the mean of the truncated sample is to be used to estimate the steady-state mean of the underlying process.
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References
1.
Blomqvist, N.
On the Transient Behavior of the GI/G/1
Waiting-Times Skandinavisk Aktuarietidskrift
1970
0 pp.118 -129
2.
Cheng, R.C.H.
A Note on the Effect of Initial Conditions on a Simulation Run
Operational Research Quarterly vol. 27 no. 2
1976 pp. 467 -470
3.
Conway, R.W.
Some Tactical Problems in Digital Simulation Management
Science vol. 10 no. 1 October 1963 pp. 47 -61
4.
Fishman, G.S.
Bias Considerations in Simulation Experiments
Operations Research vol. 20
1972 pp. 685 -790
5.
6.
Fishman, G.S.
Estimating Sample Size in Computer Simulation Experiments Management
Science vol. 18 no. 1 September 1971 pp. 21 -38
7.
Fishman, G.S.
Kiviat, P.J.
The Analysis of Simulation Generated Time Series Management
Science vol. 13 no. 7 March 1967 pp. 525 -557
8.
9.
10.
11.
Madansky, A.
Optimal Initial Conditions for a Simulation Problem
Operations Research vol. 24 no. 3 May 1976 pp. 572 -577
12.
13.
Turnquist, M.A.
Sussman, J.M.
Toward Guidelines for Designing Experiments in Queueing
Simulation Simulation vol. 28 no. 5 May 1977 pp. 137 -144
14.
15.
Wilson, J.R.
Pritsker, A.A.B.
Evaluation of Startup Policies in Simulation Experiments
Simulation vol. 31 no. 3 September 1978