Data Structures and Simple Algorithms

John H. Drew, Diane L. Evans, Andrew G. Glen and Lawrence M. Leemis
Additional contact information
John H. Drew: The College of William and Mary
Diane L. Evans: Rose-Hulman Institute of Technology
Andrew G. Glen: Colorado College
Lawrence M. Leemis: The College of William and Mary

Chapter 3 in Computational Probability, 2017, pp 33-45 from Springer

Abstract: Abstract This chapter and the three that follow it concern 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.

Keywords: Probability Density Function; Cumulative Distribution Function; Hazard Function; Survivor Function; Discrete Random Variable (search for similar items in EconPapers)
Date: 2017
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Persistent link: https://EconPapers.repec.org/RePEc:spr:isochp:978-3-319-43323-3_3

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DOI: 10.1007/978-3-319-43323-3_3

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