DocumentCode
547263
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
Volume
2
fYear
2011
fDate
10-12 June 2011
Firstpage
542
Lastpage
545
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science and Automation Engineering (CSAE), 2011 IEEE International Conference on
Conference_Location
Shanghai
Print_ISBN
978-1-4244-8727-1
Type
conf
DOI
10.1109/CSAE.2011.5952528
Filename
5952528
Link To Document