Randomization and Sampling Methods

Peter Occil

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29 Dec 2022Public Domain116 min read

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Has many ways applications can sample using an underlying (pseudo-)random number generator and includes pseudocode for many of them.

This page discusses many ways applications can sample randomized content by transforming the numbers produced by an underlying source of random numbers, such as numbers produced by a pseudorandom number generator, and offers pseudocode and Python sample code for many of these methods.

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This article, along with any associated source code and files, is licensed under A Public Domain dedication

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Peter Occil

United States

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Randomization and Sampling Methods

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