Abstract: In this chapter, we introduce the concept of a random variable and develop the procedures for characterizing random variables, including the cumulative distribution function, as well as the probability mass function for a discrete random variable and the probability density function for a continuous random variable. The important concepts of the expected values, such as the mean, variance, and moments, are discussed. After introduction of conditional distributions and functions of a random variable, we present transform methods and upper bounds on a random variable.
Publication Year: 2019
Publication Date: 2019-03-15
Language: en
Type: other
Indexed In: ['crossref']
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Cited By Count: 2
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