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Discrete Mathematics for Statistical and Probability Problems

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Book cover Modern Discrete Mathematics and Analysis

Part of the book series: Springer Optimization and Its Applications ((SOIA,volume 131))

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Abstract

This paper offers a compact presentation of the solid involvement of Discrete Mathematics in various fields of Statistics and Probability Theory. As far as the discrete methodologies in Statistics are concerned, our interest is focused on the foundations and applications of the Experimental Design Theory. The set-theoretic approach of the foundations of Probability Theory is also presented, while the notions of concepts and fuzzy logic are formulated and discussed.

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Author information

Authors and Affiliations

  1. Technological Educational Institute of Athens, Athens, Greece

    Christos P. Kitsos & Thomas L. Toulias

Authors
  1. Christos P. Kitsos
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  2. Thomas L. Toulias
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Editor information

Editors and Affiliations

  1. Department of Mathematics, Hellenic Military Academy, Vari, Greece

    Nicholas J. Daras

  2. Department of Mathematics, National Technical University of Athens, Athens, Greece

    Themistocles M. Rassias

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Kitsos, C.P., Toulias, T.L. (2018). Discrete Mathematics for Statistical and Probability Problems. In: Daras, N., Rassias, T. (eds) Modern Discrete Mathematics and Analysis . Springer Optimization and Its Applications, vol 131. Springer, Cham. https://doi.org/10.1007/978-3-319-74325-7_12

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