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The distribution of good multipliers for congruential random number generators.Klincsek, Julia January 1973 (has links)
No description available.
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The distribution of good multipliers for congruential random number generators.Klincsek, Julia January 1973 (has links)
No description available.
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Testing the Radio Shack Random Number Generator to Produce Uniform and Non-Uniform Random NumbersMenendez, Enrique 01 April 1981 (has links) (PDF)
Random numbers are a basic part in a Simulation Model, and they are also used in random sampling. These techniques are employed by quality engineers in the successful execution of their jobs. The every-day use of random numbers, however, often leads to a sense of complacency in he mind of engineers toward the exacting requirements that should be satisfied by the random number process to generate a genuine random number. Microcomputers have become a common and powerful tool that helps managers and engineers in their simulation experiments by providing sequences of random numbers. This research presents a sequence of eight tests to test the Radio Shack microcomputer system random number generator for uniformity and randomness; then, this Radio Shack random number generator is used to generate uniform and non-uniform deviates and a non-parametric test is performed to test these deviates for randomness. Two computer programs written in the BASIC language are used to test for randomness. The first one to test the Radio Shack random number generator and the second one to test the uniform and non-uniform deviates.
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Monte Carlo studies with random fuzzy numbersAbdalla, Areeg Said. January 1900 (has links) (PDF)
Thesis (Ph. D.)--University of Alabama at Birmingham, 2007. / Additional advisors: Ian Knowles, Kevin D. Reilly, Peter Slarter, Wei-Shen Hsia. Description based on contents viewed June 10, 2008; title from title screen. Includes bibliographical references.
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Generation and testing of random numbers of an arbitrary distribution /Vaa, Norman A. January 1962 (has links)
Thesis (M.S.)--Naval Postgraduate School, 1962. / Thesis advisor(s): Borsting, Jack R. "May 1962." Bibliography: l. 34-37. Also available online.
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A portable C random number generatorCrunk, Anthony Wayne 15 November 2013 (has links)
Proliferation of computers with varying word sizes has led to increases in software use where random number generation is required. Several techniques have been developed. Criteria of randomness, portability, period, reproducibility, variety, speed, and storage are used to evaluate developed generation methods. The Tausworthe method is the only method to meet the portability requirement, and is chosen to be implemented. A C language implementation is proposed as a possible implementation and test results are presented to confirm the acceptability of the proposed code. / Master of Science
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