Title :
Asymptotic statistical analysis of pseudo random numbers
Author :
Wang, Alexandra L. ; Xu, Zhiguang ; Kicey, Charles J.
Author_Institution :
Lowndes High Sch., Valdosta, GA, USA
Abstract :
Computer simulation is a widely used powerful tool for solving real world problems. Pseudo random number plays an important role in computer simulation and modeling. It acts like the real random number. We discuss the asymptotic properties of pseudo random numbers as the period size of a random number generator approaches to infinity. Our results show that the pseudo random number converges to the true random number in mean, variance, skewness, kurtosis, moment, and distribution.
Keywords :
digital simulation; random number generation; statistical analysis; asymptotic statistical analysis; computer simulation; pseudorandom number; random number generator; real world problem solving; Computers; Manganese;
Conference_Titel :
Computer Science and Automation Engineering (CSAE), 2011 IEEE International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-8727-1
DOI :
10.1109/CSAE.2011.5952528