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• W2129968288 abstract "Historically, virtual simulation has been limited, in that; it is difficult to produce sufficient data collection runs to generate statistically significant results and conclusions. Since the cost, in time and effort, in executing a real time simulation becomes prohibitive driving toward standard statistical processes and methodologies. The magic 30 runs or iterations are simply impossible to acquire for each permutation in a design of experiment matrix that is often required by a virtual simulation effort. Most often, within standard statistical practices, there often exists a reliance on the assumption of normality in the analytical data. This paper will address existing analysis methodologies that discard the assumption of normality as data sets approach acceptable statistical limits. The application of nonparametric statistical methods has been applied to studies performed on advanced fighter systems with virtual, pilot-in-the-loop, simulation events. As a measure of performance, weapon system programs to accomplish capability trade studies and analyses have utilized Force Effectiveness Index (FEI). As well, other measures have been used in the realm of lethality, survivability, and mission effectiveness to properly evaluate additional capability in the newest advanced fighter aircraft. Nonparametric statistical principles applied in these trade analyses allows the analyst to compare differing levels of technology and capability using the smaller number of data runs garnered in virtual simulation studies. One methodology of nonparametric statistical analysis uses ranking and selection to compare any output measures for different treatments and capabilities applied to the optional system configurations. As applied to the advanced fighter virtual work, these methods are employed to compare capability, functional, and system-level trades, analysts also use statistically valid and analytically sound methodologies to get as much information from the small amount of data available. This multimedia presentation will feature the important findings of the application of nonparametric methods. The results have particularly significant implications to the modeling and simulation community that continually want to rely on the end user participation in virtual simulation studies to completely evaluate the trades of a weapon system. Finally, the presentation will comment on the value of nonparametric statistical analysis and discuss what advantages are gained over traditional statistical practices that rely on the assumption of normality." @default.
• W2129968288 created "2016-06-24" @default.
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• W2129968288 date "2001-08-06" @default.
• W2129968288 modified "2023-09-27" @default.
• W2129968288 title "Using nonparametric statistical methods in virtual simulation" @default.
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• W2129968288 doi "https://doi.org/10.2514/6.2001-4367" @default.
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