Title :
Statistical selection of the best system
Author :
Goldsman, David ; Nelson, Barry L.
Author_Institution :
Sch. of Ind. & Syst. Eng., Georgia Inst. of Technol., Atlanta, GA, USA
Abstract :
The article discusses some statistical procedures for selecting the best of a number of competing systems. The term "best" may refer to that simulated system having, say, the largest expected value or the greatest likelihood of yielding a large observation. We describe six procedures for finding the best, three of which assume that the underlying observations arise from competing normal distributions, and three of which are essentially nonparametric in nature. In each case, we comment on how to apply the above procedures for use in simulations
Keywords :
nonparametric statistics; normal distribution; random processes; simulation; statistical analysis; best system selection; competing normal distributions; competing systems; large observation; largest expected value; nonparametric distributions; simulated system; statistical procedures; statistical selection; Design methodology; Engineering management; Gaussian distribution; Industrial engineering; Manufacturing; Modeling; Nominations and elections; Sampling methods; Statistical analysis; Systems engineering and theory;
Conference_Titel :
Simulation Conference, 2001. Proceedings of the Winter
Conference_Location :
Arlington, VA
Print_ISBN :
0-7803-7307-3
DOI :
10.1109/WSC.2001.977256
