Dynamic information and library processing
Dynamic information and library processing
Modeling electricity loads in California: ARMA models with hyperbolic noise
Signal Processing - Signal processing with heavy-tailed models
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An attempt has been made to give an answer to the question: Why domost bibliometric and scientometric laws reveal characters ofNon-Gaussian distributions, i.e., have unduly long tails? We triedto apply the approach of the so-called Universal Law, discovered byG. Stankov ([1997], [1998]). The basic principle we have used hereis that of the reciprocity of energy and space. A new waveconcept of scientific information has been propounded, in whichterms the well-known bibliometric and scientometric distributionsfind a rather satisfactory explanation. One of the made corollariesis that α = 1 is the most reasonable value for the family ofZipf laws, applied to information or social phenomena.