Abstract
LetEbe a denumerable set (i.e., finite or countable) and let (Ω,S,P) be a probability space. Any functionXmapping Ω intoEand such that for all x∈E,
is called adiscrete random elementofE. When\( E \subset \mathbb{R} \) one would rather refer toXas adiscrete random variable.
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© 1988 Springer Science+Business Media New York
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Brémaud, P. (1988). Discrete Probability. In: An Introduction to Probabilistic Modeling. Undergraduate Texts in Mathematics. Springer, New York, NY. https://doi.org/10.1007/978-1-4612-1046-7_2
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DOI: https://doi.org/10.1007/978-1-4612-1046-7_2
Publisher Name: Springer, New York, NY
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