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Averaging Results with Theoretical Uncertainties

Data Analysis, Statistics and Probability 2011-08-05 v2
Authors: F. C. Porter
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Abstract

Combining measurements which have "theoretical uncertainties" is a delicate matter, due to an unclear statistical basis. We present an algorithm based on the notion that a theoretical uncertainty represents an estimate of bias.

Keywords

uncertainty relations bayesian inference statistical algorithms

Cite

@article{arxiv.0806.0530,
  title  = {Averaging Results with Theoretical Uncertainties},
  author = {F. C. Porter},
  journal= {arXiv preprint arXiv:0806.0530},
  year   = {2011}
}

Comments

12 pages, no figures This version: Modified section on comparison with other method to compare with actual HFAG procedure

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