Wavelet ANOVA approach to model validation

Authors

• Andrew D. Atkinson, Air Force Institute of Technology
• Raymond R. Hill, Air Force Institute of Technology
• Joseph J. Pignatiello Jr. Jr., Air Force Institute of Technology
• G. Geoffrey Vining, Virginia Polytechnic Institute and State University
• Edward D. White, Air Force Institute of TechnologyFollow
• Eric Chicken, Florida State University

Document Type

Article

Publication Date

11-2017

Abstract

Excerpt: Model validation is that critical component in the simulation development process that ensures a model is truly representative of the system that it is meant to model. Although there are numerous validation techniques described in the literature, many of these techniques still require some amount of subjective analysis in order to assess validity. This is particularly true with dynamic simulation output. To reduce or eliminate this subjectivity, this paper proposes a validation process that uses wavelet analysis of variance (WANOVA) as an effective method to statistically accept or reject a model as valid. Abstract © Elsevier

Comments

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DOI

10.1016/j.simpat.2017.08.004

Source Publication

Simulation Modelling Practice and Theory (ISSN 1569-190X | eISSN 1878-1462)

Recommended Citation

Atkinson, A. D., Hill, R. R., Pignatiello, J. J., Vining, G. G., White, E. D., & Chicken, E. (2017). Wavelet ANOVA approach to model validation. Simulation Modelling Practice and Theory, 78, 18–27. https://doi.org/10.1016/j.simpat.2017.08.004