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摘要
This paper discusses the motivations behind the abstraction of training systems%26apos; cost data to statistical models and difficulties present within such efforts. Current methods of generating trainer costs require a significant investment of both time and effort. Special attention is given to data taken from a particular database; all efforts described within this paper, although discussed in abstract detail, were applied to the problem of generating initial work toward a parametric evaluation method for trainer costs. The paper covers some evaluated analytical methods, and introduces one method of analyzing cost data for use in future prediction, with the intention of providing an approach that is grounded in empirical data. Finally, the paper identifies some difficulties present in the method, provides some comments for the purposes of improving this and future models, and discusses some of the goals that are being set for predictive analyses of training systems.
- 出版日期2014-12
