Thoughts on pseudorandom number generators
Journal of Computational and Applied Mathematics - Random numbers and simulation
The art of computer programming, volume 2 (3rd ed.): seminumerical algorithms
The art of computer programming, volume 2 (3rd ed.): seminumerical algorithms
A random number generator based on the combination of four LCGs
Mathematics and Computers in Simulation - Special issue: papers presented at the MSSA/IMACS 11th biennial conference on modelling and simulation
Mersenne twister: a 623-dimensionally equidistributed uniform pseudo-random number generator
ACM Transactions on Modeling and Computer Simulation (TOMACS) - Special issue on uniform random number generation
High Integrity Software: The SPARK Approach to Safety and Security
High Integrity Software: The SPARK Approach to Safety and Security
On the accuracy of statistical procedures in Microsoft Excel 2003
Computational Statistics & Data Analysis
Microsoft Excel's 'Not The Wichmann-Hill' random number generators
Computational Statistics & Data Analysis
The Effectiveness of T-Way Test Data Generation
SAFECOMP '08 Proceedings of the 27th international conference on Computer Safety, Reliability, and Security
LEARNING RANDOM NUMBERS: A MATLAB ANOMALY
Applied Artificial Intelligence
Assessing the Quality of Pseudo-Random Number Generators
Computational Economics
A pseudo random numbers generator based on chaotic iterations: application to watermarking
WISM'10 Proceedings of the 2010 international conference on Web information systems and mining
SFMT pseudo random number generator for Erlang
Proceedings of the 10th ACM SIGPLAN workshop on Erlang
TinyMT pseudo random number generator for Erlang
Proceedings of the eleventh ACM SIGPLAN workshop on Erlang workshop
Computer Methods and Programs in Biomedicine
Generating beta random numbers and Dirichlet random vectors in R: The package rBeta2009
Computational Statistics & Data Analysis
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A widely used pseudo-random number generator has been shown to be inadequate by today's standards. In producing a revised generator, extensive use has been made of a test package TestU01 for random number generators. Using this, criteria have been devised for the revised generator-also other high-quality generators have been identified. Facilities have been devised to allow the new generator to be used in a highly parallel environment, which is likely to be a feature of many future applications.