00000nam 2200000za 4500 9.829481 CaOODSP 20240219183456 cr ||||||||||| 170104s2014 oncd |o f|0| 0 eng d CaOODSP eng n-cn--- D69-19/2014E-PDF Statistical validation of a new Python-based military workforce simulation model [electronic resource] / Stephen Okazawa ... [et al.]. [Ottawa] : Defence Research and Development Canada, [2014] [10] p. : charts. "DRDC-RDDC-2014-P48." Includes bibliographic references. "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. gccst Technical reports gccst Military technology Okazawa, Stephen. Defence R&D Canada. PDF 650 KB https://publications.gc.ca/collections/collection_2017/rddc-drdc/D69-19-2014-eng.pdf DRDC-RDDC-2014-P48