Abstract
A classic problem of stochastic simulation is estimating the variance of point estimators, the prototype estimator being the sample mean from a steady-state autocorrelated process. The traditional batch means (BM) estimator requires knowledge of the sample size a priori. This paper proposes an algorithm to implement certain BM estimators without knowing the sample size in advance. The proposed algorithm is useful when the run length is random or is extremely long in simulation models.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
