Selecting the Number of Replications in a Simulation Study
In order to approach a distribution by means of simulation it is necessary to determine a number of replications. The accuracy with which the distribution is calculated will rely on this number of replications. In this work, a relationship between the number of replications and the accuracy of the estimate is obtained, so that if it is wanted to get a prefixed value for the accuracy it is possible to determine which will be the minimum number of replications necessary for it.
|Date of creation:||17 Dec 1996|
|Note:||Type of Document - PostScript; prepared on IBM PC ; to print on PostScript; pages: 13 ; figures: included. None.|
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- Hyllerberg, S. & Engle, R.F. & Granger, C.W.J. & Yoo, B.S., 1988.
"Seasonal Integration And Cointegration,"
0-88-2, Pennsylvania State - Department of Economics.
- Dickey, David A & Fuller, Wayne A, 1981. "Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root," Econometrica, Econometric Society, vol. 49(4), pages 1057-1072, June.
- Joseph Beaulieu, J. & Miron, Jeffrey A., 1993.
"Seasonal unit roots in aggregate U.S. data,"
Journal of Econometrics,
Elsevier, vol. 55(1-2), pages 305-328.
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