Non-Gaussian effects are important features in many fields of physics, and the search for non-Gaussianity motivates several new experiments. Here I show that an insidious form of non-Gaussianity can easily arise as a finite-size effect in a data analysis tool that is guaranteed to be asymptotically Gaussian. This means that experimental searches for non-Gaussianity should also include an extremely careful scrutiny of the statistical tools used to analyze data.
Non-Gaussianity as a data analysis artifact / Milotti, E.. - In: PHYSICAL REVIEW E, STATISTICAL, NONLINEAR, AND SOFT MATTER PHYSICS. - ISSN 1539-3755. - STAMPA. - 83:(2011), pp. 042103--. [10.1103/PhysRevE.83.042103]
Non-Gaussianity as a data analysis artifact
MILOTTI, EDOARDO
2011-01-01
Abstract
Non-Gaussian effects are important features in many fields of physics, and the search for non-Gaussianity motivates several new experiments. Here I show that an insidious form of non-Gaussianity can easily arise as a finite-size effect in a data analysis tool that is guaranteed to be asymptotically Gaussian. This means that experimental searches for non-Gaussianity should also include an extremely careful scrutiny of the statistical tools used to analyze data.Pubblicazioni consigliate
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
