Statistical validation of a new Python-based military workforce simulation model / Stephen Okazawa ... [et al.].: D69-19/2014E-PDF
"In this paper, we demonstrate the use of nonparametric and time series statistical techniques to test the hypothesis that the results obtained from Arena-based and Python-based implementations of the same military rank structure model are equivalent. Important measures of system performance that were tested include population size, time in rank, promotions, releases and course qualifications. This methodology will be of broad use to analytics practitioners who face the challenge of testing whether two independently-developed simulation models of the same system are in fact statistically equivalent"--Abstract.
Permanent link to this Catalogue record:
publications.gc.ca/pub?id=9.829481&sl=0
| Department/Agency | Canada. Defence R&D Canada. |
|---|---|
| Title | Statistical validation of a new Python-based military workforce simulation model / Stephen Okazawa ... [et al.]. |
| Publication type | Monograph |
| Language | [English] |
| Format | Electronic |
| Electronic document | |
| Note(s) | "DRDC-RDDC-2014-P48." Includes bibliographic references. |
| Publishing information | [Ottawa] : Defence Research and Development Canada, [2014] |
| Author / Contributor | Okazawa, Stephen. |
| Description | [10] p. : charts. |
| Catalogue number |
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| Departmental catalogue number | DRDC-RDDC-2014-P48 |
| Subject terms | Technical reports Military technology |