Generating Random Numbers

Gerhard Dikta () and Marsel Scheer
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Gerhard Dikta: FH Aachen – University of Applied Sciences, Department of Medical Engineering and Technomathemathics
Marsel Scheer: Bayer AG

Chapter Chapter 2 in Bootstrap Methods, 2021, pp 9-20 from Springer

Abstract: Abstract To perform a Monte Carlo approximation, we have to generate random variables (rv.) on a computer according to a given df. F. In this chapter, we will discuss some commonly used procedures and their application under R. Since most of the widely used distributions are implemented in R, random variables according to these distributions can easily be generated directly in R through the corresponding built-in R functions. In the first section of this chapter, we will give a brief overview on those distributions which are implemented in the R stats package.

Date: 2021
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DOI: 10.1007/978-3-030-73480-0_2

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