Data Structures and Simple Algorithms
This chapter and the two that follow it are concerned with continuous random variables.We have chosen to present continuous random variables first because they are defined with a somewhat simpler data structure than that for discrete random variables. The development described here gives a probabilist the ability to automate the instantiation and processing of continuous random variables—key elements of computational probability.
KeywordsProbability Density Function Cumulative Distribution Function Hazard Function Survivor Function Continuous Random Variable
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