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Volume functions of historical texts and the amplitude correlation principle

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Abstract

A new empirico-statistical model is suggested to distinguish dependent narrative texts from independent narrative texts by means of their volume functions. A “regard for information” principle and an “amplitude correlation” principle are formulated. The model and both principles are examined experimentally using specific historical texts.

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Anatoliy T. Fomenko (Dr. Sci. in mathematics, Lomonosov State University) is a Professor at Lomonosov State University, Moscow. He is author of twelve monographs and textbooks, and is co-author of the two-volume Modern Geometry (Springer-Verlag). He is also artist and historian.

Svetlozar T. Rachev (Dr. Sci., Steklov Mathematical Institute) is a Professor at the University of California, Santa Barbara. He has published more than seventy papers and is co-author of the monographMathematical Models for Construction of Queuing Models (Moscow, 1988). His main interests are: stability of stochastic models, theory of probability metrics, queuing theory and survival models.

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Fomenko, A.T., Rachev, S.T. Volume functions of historical texts and the amplitude correlation principle. Comput Hum 24, 187–206 (1990). https://doi.org/10.1007/BF00117342

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