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We introduced the concept of a random variable in Chap. 5 . Let X be a random variable describing an outcome of an experiment, for example, the outcome of the tossing of a standard coin or a standard dice. The set of all outcomes of a coin tossing experiment is represented by \(S=\{Head,Tail\},\) and the dice tossing experiment is represented by \(S=\{1,2,3,4,5,6\}.\) These two are examples of a discrete random variable.

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Markov Process Models in Demography

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  • 发表日期：

    2026年

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  • Arni S. R. Srinivasa Rao

摘要

We introduced the concept of a random variable in Chap. 5 . Let X be a random variable describing an outcome of an experiment, for example, the outcome of the tossing of a standard coin or a standard dice. The set of all outcomes of a coin tossing experiment is represented by \(S=\{Head,Tail\},\) and the dice tossing experiment is represented by \(S=\{1,2,3,4,5,6\}.\) These two are examples of a discrete random variable.