Discrete Probability Spaces

Konrad Jacobs
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Konrad Jacobs: Universität Erlangen-Nürnberg, Mathematisches Institut

Chapter III in Discrete Stochastics, 1992, pp 45-63 from Springer

Abstract: Abstract In the preceding chapters we have dealt with finite probability spaces: let D be a nonempty finite set. A D-vector p = (P j )j∈D is called a probability vector over D if $${p_j} \ge 0(j \in D)$$ $$\sum\limits_{k \in D} {{p_k} = 1} $$ If p is a probability vector over D, then (D,p) is called a finite probability space.

Date: 1992
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DOI: 10.1007/978-3-0348-8645-1_3

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