Abstract
We now define the expectation of a continuous random variable. In doing so we parallel the discussion of expected values for discrete random variables given in Chapter 6. Based on the probability density function (PDF) description of a continuous random variable, the expected value is defined and its properties explored. The discussion is conceptually much the same as before, only the particular method of evaluating the expected value is different. Hence, we will concentrate on the manipulations required to obtain the expected value.
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Ā© 2012 Steven M. Kay
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Kay, S.M. (2012). Expected Values for Continuous Random Variables. In: Intuitive Probability and Random Processes Using MATLABĀ®. Springer, Boston, MA. https://doi.org/10.1007/0-387-24158-2_11
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DOI: https://doi.org/10.1007/0-387-24158-2_11
Publisher Name: Springer, Boston, MA
Print ISBN: 978-0-387-24157-9
Online ISBN: 978-0-387-24158-6
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