A Unified Information-Value Approach to Sensitivity Analysis

灵敏度分析的统一信息-价值方法 物理学和社会科学中的现象模型经常受到敏感性分析的影响，其中分析师评估模型对参数值变化的影响（敏感性）。 然而，随着模型变得复杂，这种评估变得繁琐、耗时，有时令人怀疑是否考虑了所有相关的参数值组合？ 本研究将探讨是否可能使用的“期望值的完美信息n的参数或一组参数作为衡量问题的敏感性，这些参数的一个程序，这是既公理合理，符合预期值最大化。 还将对标准敏感性分析进行回顾性分析，以了解使用这种方法得出的结论与“完全信息预期值”方法得出的结论相比如何。

A Unified Information-Value Approach to Sensitivity Analysis Models of phenomena in physical and social science are quite often subject to sensitivity analyses in which analysts evaluate the effects (sensitivity) of the model to changes in parameter values. As models become complex, however, such evaluations becomes cumbersome, time consuming and, at times, suspect õ have all the relevant combinations of parameter values been considered? This research will examine the possibility of using the `expected value of perfect informationn on a parameter or group of parameters as a measure of problem sensitivity to those parameters õ a procedure which is both axiomatically sound and consistent with expected value maximization. A retrospective analysis of standard sensitivity analyses will also be conducted to see how conclusions reached using such methods compare with those suggested by the `expected value of perfect informationn approach.