Abstract
Let f be a real-valued function defined on the state space of a regenerative process \( \mathop X\limits_ \eqsim = \left\{ {X\left( t \right):t \geqslant 0} \right\}\) with regeneration times 0 = T0 < T1 <..., and suppose that
as t → ∞.
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References
M.A. Crane, D.L. Iglehart (1975). “Stimulating Stable Stochastic Systems, III: Regenerative Processes and Discrete-Event Stimulations”, Oper. Res. 23, 33–45.
P.W. Glynn (1982), “Asymptotic Theory for Nonparametric Confidence Intervals”, Technical Report no 19 Dept. of Operations Research, Stanford University, Stanford, CA.
P.W. Glynn and D.L. Iglehart (1984), “The Joint Limit Distribution of Sample Mean and the Regenerative Variance Estimator”. Forthcoming technical report, Dept. of Operations Research, Stanford University, Stanford, CA.
A. Hordijk, D.L. Iglehart and R. Schassberger (1976). “Discrete-Time Methods of Stimulating Continuous-Time Markov Chains”, Advances in Appl. Probability 8, 772–788.
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© 1986 Springer Science+Business Media New York
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Glynn, P.W., Iglehart, D.L. (1986). Recursive moment formulas for regenerative simulation. In: Janssen, J. (eds) Semi-Markov Models. Springer, Boston, MA. https://doi.org/10.1007/978-1-4899-0574-1_7
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DOI: https://doi.org/10.1007/978-1-4899-0574-1_7
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