Designing a Universal Data-Oriented Random Number Generator
Автор: Rasoul Farjami Nezhad, Mehdi Effatparvar, Mohammad Rahimzadeh
Журнал: International Journal of Modern Education and Computer Science (IJMECS) @ijmecs
Статья в выпуске: 2 vol.5, 2013 года.
Бесплатный доступ
Data-oriented is new and applied theory which provides method that models the concepts with data structure. If the concept is modeled by using sufficient data in modeling, required inferences and calculations can be done fast with less complexity. Random variable was modeled with digital probability graph, by using Ahmad Fact and probability density function. Some data-oriented random generators have been presented based on data-oriented approach. In this paper a universal data-oriented random number generator is introduced which is able to generate random numbers with uniform, normal, exponential and chi-square distributions.
Probability Tree, Random variable, Data-oriented, Ahmad fact, Digit bank
Короткий адрес: https://sciup.org/15014519
IDR: 15014519
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