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Statistical models in biology

Name: Statistical models in biology
Creator: V. V. Neshitoi
Keywords: discrete distributions, species estimations, random functions, growth curves, statistical dependence, Applications of statistics to biology and medical sciences; meta analysis

descriptionPublicationkeyboard_double_arrow_right Article 01 Jan 1988 English Publisher:Springer Science and Business Media LLCJournal:Cybernetics, volume 23, pages 831-838 (issn: 0011-4235, eissn: 1573-8337,

Authors: V. V. Neshitoi;

doi: 10.1007/bf01070246

Statistical models in biology

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Abstract

We consider a class of random functions describing the statistical dependence between the number of trials and the number of different events that occur in these trials. Dependences of this kind are relevant not only in biology, but also in information science, linguistics, library science, and engineering. In this paper, we construct a system of growth curves of different events and a system of discrete distributions. We also consider some applications of these models in biology.

Keywords

discrete distributions, species estimations, random functions, growth curves, statistical dependence, Applications of statistics to biology and medical sciences; meta analysis

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