{
"title": "An Alternative Method for Generating Almost Infinite Sequence of Gaussian Variables",
"authors": "Nyah C. Temaneh, F. A. Phiri, E. Ruhunga",
"country": null,
"institution": null,
"volume": "50",
"journal": "International Journal of Electrical, Computer, Energetic, Electronic and Communication Engineering",
"pagesStart": 141,
"pagesEnd": 146,
"ISSN": "1307-6892",
"URL": "http:\/\/waset.org\/publications\/10547",
"abstract": "Most of the well known methods for generating\r\nGaussian variables require at least one standard uniform distributed\r\nvalue, for each Gaussian variable generated. The length of the\r\nrandom number generator therefore, limits the number of\r\nindependent Gaussian distributed variables that can be generated\r\nmeanwhile the statistical solution of complex systems requires a\r\nlarge number of random numbers for their statistical analysis. We\r\npropose an alternative simple method of generating almost infinite\r\nnumber of Gaussian distributed variables using a limited number of\r\nstandard uniform distributed random numbers.",
"references": null,
"publisher": "World Academy of Science, Engineering and Technology",
"index": "International Science Index 50, 2011"
}