Difficulties in Limit Setting and the Strong Confidence Approach
نویسنده
چکیده
Strong Confidence is a new method for setting frequentist limits that enjoys a large number of good properties[1], including that of being free from all those conceptual difficulties that have been of concern in the HEP community in past few years. Probably its most important characteristic is to comply with a form of Likelihood Principle, which is absolutely unique to the method and appears to be the source of all other good properties, which include invariance under any change of variable, both in parameter and observable spaces, and exclusion of empty regions in full generality. It turns out that there are further, previously undiscussed, difficult issues in limit setting that also receive significant help by adoption of the strong CL approach. In this report I will analyze separately two of them:
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تاریخ انتشار 2002