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Validation of models: statistical techniques and data availability
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Source Winter Simulation Conference archive
Proceedings of the 31st conference on Winter simulation: Simulation---a bridge to the future - Volume 1 table of contents
Phoenix, Arizona, United States
Pages: 647 - 654  
Year of Publication: 1999
ISBN:0-7803-5780-9
Author
Jack P. C. Kleijnen  Department of Information Systems (BIK)/Center for Economic Research (Center), School of Economics and Management (FEW), Tilburg University, 5000 LE Tilburg, The Netherlands
Sponsors
ACM: Association for Computing Machinery
SIGSIM: ACM Special Interest Group on Simulation and Modeling
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 6,   Downloads (12 Months): 82,   Citation Count: 11
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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.

 
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Beck, M.B., J.R. Ravetz, L.A. Mulkey, and T.O. Barnwell (1997), On the problem of model validation for predictive exposure assessments. Stochastic Hydrology and Hydraulics, 11, pp. 229-254
 
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Bettonvil, B. and J.P.C. Kleijnen (1997) Searching for important factors in simulation models with many factors: sequential bifurcation. European Journal of Operational Research, 96, no. 1, pp. 180-194
 
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Conover, W.J. (1971), Practical non-parametric statistics. Wiley, New York
 
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Efron, B. and R.J. Tibshirani (1993), Introduction to the bootstrap. Chapman & Hall, London
 
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Halachmi, I et al. (1999), Validation of a simulation model in robotic milking barn design. Working paper, Institute of Agricultural and Environmental Engineering (IMAG-DLO), Wageningen, Netherlands
 
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Helton, J.C., D.R. Anderson, M.G. Marietta, and R.P. Rechard (1997), Performance assessment for the waste isolation pilot plant: from regulation to calculation for 40 CFR 191.13. Operations Research, 45, no. 2, pp. 157-177
 
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Jansen, M. and B. De Vries (1998), Global modelling: managing uncertainty, complexity and incomplete information. Validation of simulation models, eds. C. van Dijkum, D. de Tombe, and E. van Kuijk, SISWO, Amsterdam
 
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Johnson N.J. (1978), Modified t tests and confidence intervals for asymmetric populations. Journal of the American Statistical Association, 73, pp. 536-544
 
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Kleijnen, J.P.C. (1999), Statistical validation of simulation, including case studies. Validation of simulation models, eds. C. van Dijkum, D. de Tombe, and E. van Kuijk, SISWO, Amsterdam
 
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Kleijnen, J.P.C. (1998), Experimental design for sensitivity analysis, optimization, and validation of simulation models. Handbook of simulation, ed. J. Banks, Wiley, New York
 
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Kleijnen, J.P.C. (1995a), Case study: statistical validation of simulation models. European Journal of Operational Research, 87, no. 1, pp. 21-34
 
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Kleijnen, J.P.C. (1995b), Verification and validation of simulation models. European Journal of Operational Research, 82, no. 1, pp. 145-16
 
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Kleijnen, J.P.C. , R.C.H. Cheng, and B. Bettonvil (1999), Validation of trace-driven simulation models: bootstrapped tests. Working Paper
 
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Kleijnen, J.P.C. and J. Helton (1999),Statistical analysis of scatter plots to identify important factors in large-scale simulations. Reliability Engineering and Systems Safety, 65, no. 2, pp. 147-1197
 
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Kleijnen, J.P.C. , G.L.J. Kloppenburg, and F.L. Meeuwsen (1986), Testing the mean of an asymmetric population: Johnson's modified t test revisited. Communications in Statistics, Simulation and Computation, 15, no. 3, pp. 715-732
 
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Kleijnen, J.P.C. and ~. Pala (1999), Maximizing the simulation output: a competition. Simulation (accepted)
 
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Kleijnen, J.P.C. and R.G. Sargent (1999), A methodology for the fitting and validation of metamodels in simulation. European Journal of Operational Research (in press)
 
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Kleijnen, J.P.C. , G. Van Ham, and J. Rotmans (1992), Techniques for sensitivity analysis of simulation models: a case study of the CO2 greenhouse effect. Simulation, 58, no. 6, pp. 410-417
 
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Kozempel, M.F., P. Tomasula, and J.C. Craig (1995), The development of the ERRC food process simulator, Simu-lation; Practice and Theory, 2, 4-5
 
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Lysyk, T.J. (1989), Stochastic model of Eastern spruce bud-worm (lepidoptera: tortricidae) phenology on white spruce and balsam fir, Journal of Economic Entomol-ogy, 82, 4, 1161-1168
 
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Trybula, W.J. (1994), Building simulation models without data. Proceedings of the International Conference on Systems, Man, and Cybernetics, IEEE, pp. 209-214
 
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Van der Zouwen, J. and C. van Dijkum (1998), Towards a methodology for the empirical testing of complex social cybernetic models. XIVth ISA World Congress of Sociology
 
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CITED BY  11

Collaborative Colleagues:
Jack P. C. Kleijnen: colleagues