Work place: Computer Scientist, National Center of Health Statistics, Hyattsville, Maryland, USA
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Research Interests: Data Structures and Algorithms
Biography
Sonali Sinha did her Bachelor of Science in Computer and Information Science in 2011 from University of Maryland University College, Adelphi, Maryland. She did her Master of Professional Studies in Data Analytics in 2019 from Penn State University, University Park, Pennsylvania.
By Pushpam Kumar Sinha Sonali Sinha
DOI: https://doi.org/10.5815/ijmsc.2019.04.02, Pub. Date: 8 Nov. 2019
We choose a better pseudo-random number generator from a list of eight pseudo-random number generators derived from the library function rand() in C/C++, including rand(); i.e. a random number generator which is more random than all the others in the list. rand() is a repeatable pseudo-random number generator. It is called pseudo because it uses a specific formulae to generate random numbers, i.e. to speak the numbers generated are not truly random in strict literal sense. There are available several tests of randomness, some are easy to pass and others are difficult to pass. However we do not subject the eight set of pseudo random numbers we generate in this work to any known tests of randomness available in literature. We use statistical technique to compare these eight set of random numbers. The statistical technique used is correlation coefficient.
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