Tests of goodness of fit to multiple data sets
نویسنده
چکیده
We propose a new and rather stringent criterion for testing the goodness of fit between a theory and experiment. It is motivated by the paradox that the criterion on χ2 for testing a theory is much weaker than the criterion for finding the best fit value of a parameter in the theory. We present a method by which the stronger parameterfitting criterion can be applied to subsets of data in a global fit. E-mail: [email protected] On leave from: Physics Department, Penn State University, 104 Davey Laboratory, University Park PA 16802, U.S.A.
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تاریخ انتشار 2001