Analysis of Data from Continuous Probability Distributions

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Abstract

Given a set of points drawn from an unknown continuous probability distribution, one often wishes to infer the underlying distribution. This distribution can be estimated using a simple scalar field theory. Fluctuations around the estimate are characterized by a robust measure of goodness of fit, analogous to the conventional χ2, whose distribution can also be calculated. The resulting method of data analysis has some advantages over conventional approaches.

Original languageEnglish
Pages (from-to)3545-3548
Number of pages4
JournalPhysical Review Letters
Volume79
Issue number19
DOIs
StatePublished - Jan 1 1997
Externally publishedYes

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