Beckert, Walter (2001) Statistical simulation. Working Paper. Birkbeck, University of London, London, UK.
Abstract
This paper considers simulation model in applied science from a statistical perspective, points out potential statistical pitfalls in calibration, and opportunities for the use of statistical regularities to reduce computational requirements and provide a foundation for systematic testing and evaluation. Sections of the paper deal with the impact of numerical approximation on the statistical properties of estimators, the use of simulation methods to assist statistical inference, and the use of nested multinomial approximations for computational tractability and robustness.
Metadata
| Item Type: | Monograph (Working Paper) |
|---|---|
| School: | Birkbeck Faculties and Schools > Faculty of Business and Law > Birkbeck Business School |
| Depositing User: | Sarah Hall |
| Date Deposited: | 02 Jun 2020 08:52 |
| Last Modified: | 02 Aug 2023 18:00 |
| URI: | https://eprints.bbk.ac.uk/id/eprint/32104 |
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