Law of error in Tsallis statistics

@article{Suyari2004LawOE,
  title={Law of error in Tsallis statistics},
  author={Hiroki Suyari and Makoto Tsukada},
  journal={IEEE Transactions on Information Theory},
  year={2004},
  volume={51},
  pages={753-757}
}
In order to theoretically explain the ubiquitous existence of power-law behavior such as chaos and fractals in nature, Tsallis entropy has been successfully applied to the generalization of the traditional Boltzmann-Gibbs statistics, the fundamental information measure of which is Shannon entropy. Tsallis entropy S/sub q/ is a one-parameter generalization of Shannon entropy S/sub 1/ in the sense that lim/sub q/spl rarr/1/S/sub q/=S/sub 1/. The generalized statistics using Tsallis entropy are… CONTINUE READING

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