an algorithm for testing serial dependence of simulation output data
This paper presents an algorithm to determine where the correlation of data sequence has died out. This algorithm can be used to collect essentially uncorrelated observations from a sequence of correlated observations. The final purpose is to use such observations to derive statistical inferential procedures for the parameters concerned. Examples of M/M/1 queues are presented.
algorithm test dependencies simulation data paper correlation sequence use collect observability statistics procedure examples queue