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Discrete Mathematics for Statistical and Probability Problems

In: Modern Discrete Mathematics and Analysis

Author

Listed:
  • Christos P. Kitsos

    (Technological Educational Institute of Athens)

  • Thomas L. Toulias

    (Technological Educational Institute of Athens)

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.

Suggested Citation

  • Christos P. Kitsos & Thomas L. Toulias, 2018. "Discrete Mathematics for Statistical and Probability Problems," Springer Optimization and Its Applications, in: Nicholas J. Daras & Themistocles M. Rassias (ed.), Modern Discrete Mathematics and Analysis, pages 251-274, Springer.
    • Handle: RePEc:spr:spochp:978-3-319-74325-7_12
    DOI: 10.1007/978-3-319-74325-7_12
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