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Underlining random variables

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  • J. Hemelrijk

Abstract

Summary This paper gives an exposition of the convention, introduced by D. VAN DANTZIG in of indicating randomness by underlining the relevant symbols. This method of distinguishing between random variables (or elements) and non‐random ones serves a multiple purpose. It saves symbols and may be applied to symbols which have been introduced first in a non‐random quality. It clearly marks the line between measure theory and probability theory and, in statistics, between descriptive and stochastic models. This underlining notation has proved to be very useful during its nearly twenty years of use in Holland and many Dutch authors use it in their publications. The present description of the rules of this convention is meant to facilitate the reading of these papers and to deepen the understanding of the merits of this notation.

Suggested Citation

  • J. Hemelrijk, 1966. "Underlining random variables," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 20(1), pages 1-7, March.
    • Handle: RePEc:bla:stanee:v:20:y:1966:i:1:p:1-7
    DOI: 10.1111/j.1467-9574.1966.tb00488.x
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    Cited by:

    1. Hristos Tyralis & Demetris Koutsoyiannis & Stefanos Kozanis, 2013. "An algorithm to construct Monte Carlo confidence intervals for an arbitrary function of probability distribution parameters," Computational Statistics, Springer, vol. 28(4), pages 1501-1527, August.

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