Comparison of experimental data to Monte Carlo simulation—Parameter estimation and goodness-of-fit testing with weighted events
نویسندگان
چکیده
Relations are derived that can be used to infer parameters in situations where theoretical predictions can be compared to experimental data only indirectly via Monte Carlo simulation. We consider least square and likelihood ratio fits. Parameter changes in the fitting procedures are performed by reweighting Monte Carlo events. Formulas for goodness-of-fit tests based on the w2 and the likelihood ratio statistic are presented. & 2012 Elsevier B.V. All rights reserved.
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تاریخ انتشار 2012