In this paper the impact of typical non-randomness artificially duplicated into a random number generator on random variates and resulting use in discrete event simulation is discussed. Normal, Exponential and triangular distributions are studied to understand the effect of non-randomness observed in RANDU type generator on random variate performance. A detailed analysis based on statistical tests is used for hypothesis testing and the findings are expected to help analyze how faulty random number generators used in early Monte Carlo simulations, dozens of research publications which are cited as reference to this day, along with its possible consequences in current research.
|Number of pages||1|
|State||Published - 2004|
|Event||IIE Annual Conference and Exhibition 2004 - Houston, TX, United States|
Duration: May 15 2004 → May 19 2004
|Conference||IIE Annual Conference and Exhibition 2004|
|Period||05/15/04 → 05/19/04|