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.
Lien permanent pour cette publication :
publications.gc.ca/pub?id=9.829481&sl=1
| Ministère/Organisme | Canada. Defence R&D Canada. |
|---|---|
| Titre | Statistical validation of a new Python-based military workforce simulation model / Stephen Okazawa ... [et al.]. |
| Type de publication | Monographie |
| Langue | [Anglais] |
| Format | Électronique |
| Document électronique | |
| Note(s) | "DRDC-RDDC-2014-P48." Includes bibliographic references. |
| Information sur la publication | [Ottawa] : Defence Research and Development Canada, [2014] |
| Auteur / Contributeur | Okazawa, Stephen. |
| Description | [10] p. : charts. |
| Numéro de catalogue |
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| Numéro de catalogue du ministère | DRDC-RDDC-2014-P48 |
| Descripteurs | Technical reports Military technology |