Der-Ann Hsu
ABSTRACT
In this study a statistical testing procedure is suggested to perform the comparison of the time-dependence structure between realistic and simulation-generated data. The time series technique concerned can be used to perform forecasting, which is usually more efficient and cheaper than ordinary simulation methods, under various experimental conditions.
- 1.Box, G.E.P. and Jenkins, G.M. (1970), Time Series Analysis: Forecasting and Control, San Francisco; Holden-Day. Google Scholar
Digital Library
- 2.Hsu, D.-A. (1973), Stochastic Instability and the Behaviour of Stock Prices, Ph.D. Dissertation, Department of Statistics, University of Wisconsin - Madison.Google Scholar
- 3.Naylor, T.H. and Finger, J.M. (1967), "Verification of Computer Simulation Models", Management Science, Vol. 14, No. 2, Oct. 1967, pp. 92-101.Google ScholarDigital Library
Index Terms
- Validation of computer simulation models using parametric time series analysis
Recommendations
Validation of Trace-Driven Simulation Models: Bootstrap Tests
Trace-driven or correlated inspection simulation means that the simulated and the real systems have some common inputs say, historical arrival times so that the two systems' outputs are cross-correlated. To validate such a simulation, this paper focuses ...
Some examples of simulation model validation using hypothesis testing
WSC '82: Proceedings of the 14th conference on Winter Simulation - Volume 2The use of hypothesis testing with cost-risk analysis is illustrated for simulation model validation by two examples. In the first example, Hotelling's two-sample T<sup>2</sup> test with cost-risk analysis is used for illustrating the validation of a ...
Residual analysis of linear mixed models using a simulation approach
In the framework of the general linear model, residuals are routinely used to check model assumptions, such as homoscedasticity, normality, and linearity of effects. Residuals can also be employed to detect possible outliers. Various types of residuals ...
Comments