Publisher Summary This chapter presents an overview of the basic applications of the theory
of diffusion approximations to operations research. A diffusion approximation is a technique …

The goal of this fifth edition of Simulation Modeling and Analysis remains the same as that
for the first four editions: to give a comprehensive and state-of-the-art treatment of all the …

Markov chain Monte Carlo using the Metropolis-Hastings algorithm is a general method for
the simulation of stochastic processes having probability densities known up to a constant of …

Changes and additions are sprinkled throughout. Among the significant new features are:•
Markov-chain simulation (Sections 1. 3, 2. 6, 3. 6, 4. 3, 5. 4. 5, and 5. 5);• gradient estimation …

The pivot algorithm is a dynamic Monte Carlo algorithm, first invented by Lal, which
generates self-avoiding walks (SAWs) in a canonical (fixed-N) ensemble with free endpoints …

Software inspection is a known technique for improving software quality. It involves carefully
examining the code, the design, and the documentation of software and checking these for …

The method of standardized time series (STS) was proposed by Schruben as an approach
for constructing asymptotic confidence intervals for the steady-state mean from a single …

Publisher Summary This chapter focuses on digital-computer modeling and on the analysis
of stochastic systems to estimate performance measures. Both dynamic-system simulation …

When an estimator of the variance of the sample mean is parameterized by batch size, one
approach for selecting batch size is to pursue the minimal mean squared error (mse). We …

Traffic simulation models support detailed analysis of the dynamics of traffic phenomena and
are important tools for analysis of transportation systems. In order to evaluate correctly the …