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Power of Global Test in Deformation Analysis

机译:整体测试在变形分析中的作用

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There are two kinds of global test procedures in deformation analysis; χ~2-test (CT) and F-test (FT). This study discusses their power functions. The CT is more powerful than the other one in an analytical point of view. However, it requires an accurate knowledge on the a priori variance of unit weight. Therefore, in practice, the FT is mostly chosen. Despite its common usage, a χ~2-power function is considered in the sensitivity design of deformation networks. It is claimed in this study that the F-distribution's power function should be taken into account, if, in reality, the FT will be applied. Thereby, some boundary values deduced from the noncentral F-distribution to be used in sensitivity analysis are computed and tabulated. Furthermore, a simulation for a monitoring network is designed, and it is shown that the mean success rates of the two testing procedures are identical with their own powers known beforehand. This numerical experiment depicts that one should consider the related power function in the design stage, and that each power function gives a realistic probability of how the corresponding test procedure is successful.
机译:变形分析有两种全局测试程序: χ〜2检验(CT)和F检验(FT)。这项研究讨论了它们的功效。从分析的角度来看,CT比其他CT更强大。但是,这需要对单位重量的先验方差有准确的了解。因此,在实践中,主要选择FT。尽管有通用用法,但在变形网络的灵敏度设计中仍考虑了χ〜2幂函数。在这项研究中声称,如果实际上将应用FT,则应考虑F分布的幂函数。从而,计算并列出了从非中心F分布推导的一些边界值,以用于敏感性分析。此外,设计了一个监控网络的仿真,结果表明,这两个测试过程的平均成功率与其事先已知的能力相同。此数值实验描述了在设计阶段应该考虑相关的幂函数,并且每个幂函数给出了相应测试过程如何成功的现实可能性。

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