Numerical Likelihood Analysis of Cosmic Ray Anisotropies
Carlos Hojvat, Thomas P. McCauley, Stephen Reucroft, John D. Swain
Abstract
A numerical likelihood approach to the determination of cosmic ray anisotropies is presented which offers many advantages over other approaches. It allows a wide range of statistically meaningful hypotheses to be compared even when full sky coverage is unavailable, can be readily extended in order to include measurement errors, and makes maximum unbiased use of all available information.
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