## Abstract

We present and compare two ways of applying the regenerative method of simulation output analysis to simulate the steady-state behavior of irreducible discrete time Markov chains having a finite state space. The 'standard' approach involves defining the regenerative cycles based on the times a particular 'return' state is visited. The alternative approach involves using 'splitting' to define the regenerative cycles. We present a way of selecting the splitting distribution that guarantees that the splitting cycles are shorter than the standard cycles, and that the variance estimates produced by the splitting approach are less variable than the variance estimates produced by the standard approach.

Original language | English (US) |
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Pages (from-to) | 320-323 |

Number of pages | 4 |

Journal | Winter Simulation Conference Proceedings |

State | Published - Dec 1 1994 |

Externally published | Yes |

Event | Proceedings of the 1994 Winter Simulation Conference - Buena Vista, FL, USA Duration: Dec 11 1994 → Dec 14 1994 |

## All Science Journal Classification (ASJC) codes

- Software
- Modeling and Simulation
- Safety, Risk, Reliability and Quality
- Chemical Health and Safety
- Applied Mathematics