Improving the statistical quality of random number generators by applying a simple ratio transformation
type: Item
instance of: scholarly article
title: Improving the statistical quality of random number generators by applying a simple ratio transformation
author: Yanyan Li
published in: Mathematics and Computers in Simulation
publication date: 2021-03-02T00:00:00Z
full work available at URL: https://arxiv.org/abs/1612.07318
Mathematics Subject Classification ID: 65Cxx
Mathematics Subject Classification ID: 65-XX
zbMATH DE Number: 7316594
zbMATH Keywords: random number generation
zbMATH Keywords: combination of random generators
zbMATH Keywords: ratio of uniform random variables
zbMATH Keywords: empirical testing of random generators
describes a project that uses: RngSteam
describes a project that uses: MersenneTwister
describes a project that uses: MRG32k3a
MaRDI profile type: Publication
OpenAlex ID: W2898067980
cites work: Computer Generation of Random Variables Using the Ratio of Uniform Deviates
cites work: Q4349924
cites work: Good Parameters and Implementations for Combined Multiple Recursive Random Number Generators
cites work: Handbook of computational statistics. Concepts and methods.
cites work: Random numbers for parallel computers: requirements and methods, with emphasis on gpus
cites work: TestU01
cites work: Mersenne twister
cites work: Q4859837
cites work: Uniform Random Rational Number Generation
DOI: 10.1016/J.MATCOM.2018.10.002
description: scientific article; zbMATH DE number 7316594