An Introduction to the Regenerative Method for Simulation Analysis
An Introduction to the Regenerative Method for Simulation Analysis
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For the past two decades, much of the attention in the statistical methodology of computer simulation has been motivated by and directed toward what is essentially a single goal: To construct a valid confidence interval for a steady-state parameter of a stochastic process by means of simulation. During this time, a number of approaches have been developed in an attempt to meet this goal, and the purpose of this two-session forum is to gather several of these ideas together for exposition and discussion. Each participant in this forum is actively involved in research in this area, and has agreed to present or co-present one of six methods: Replication, batch means, time series, spectral methods, regenerative methods, and standardized time series. The order chosen represents an attempt to follow the chairperson's impression of the chronology of development.