Improved Implementation of Conditional Monte Carlo Estimation of Path Lengths in Stochastic Networks

摘要

This document suggests an improvement to the Monte Carlo simulation techniques of Sigal, Pritsker and Solberg for estimating the distribution of the shortest-longest path length in a stochastic network. This improvement also applies in network reliability estimation and PERT analysis.