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  1. 1 Open Physics

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  1. 1 2009

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  1. 1 Scarfone A.

  2. 1 Suyari H.

  3. 1 Wada T.

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Gauss’ law of error revisited in the framework of Sharma-Taneja-Mittal information measure

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Scarfone A., Suyari H., Wada T.
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We reformulate the Gauss’ law of error in presence of correlations which are taken into account by means of a deformed product arising in the framework of the Sharma-Taneja-Mittal measure. Having reviewed the main proprieties of the generalized product and its related algebra, we derive, according to the Maximum Likelihood Principle, a family of error distributions with an asymptotic power-law behavior.
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