Title :
Some myths and common errors in simulation experiments
Author :
Schmeiser, Bruce W.
Author_Institution :
Sch. of Ind. Eng., Purdue Univ., West Lafayette, IN, USA
Abstract :
During the more than fifty years that Monte Carlo simulation experiments have been performed on digital computers, a wide variety of myths and common errors have evolved. We discuss some of them, with a focus on probabilistic and statistical issues
Keywords :
Monte Carlo methods; digital simulation; probability; statistical analysis; Monte Carlo simulation; common errors; digital computers; myths; probabilistic issues; simulation experiments; statistical issues; Computational modeling; Computer errors; Computer simulation; Industrial engineering; Logic; Performance evaluation; Probability; Q measurement; Random number generation; Random variables;
Conference_Titel :
Simulation Conference, 2001. Proceedings of the Winter
Conference_Location :
Arlington, VA
Print_ISBN :
0-7803-7307-3
DOI :
10.1109/WSC.2001.977244
