Table of Contents:
  • part PART I: The Fundamentals
  • chapter 1 Introduction
  • chapter 2 Building Conceptual Models
  • chapter 3 Simulating Probabilities
  • chapter 4 Simulating Random Variables and Stochastic Pro- cesses
  • chapter 5 Simulating the Single-Server Queueing System
  • chapter 6 Statistical Analysis of Simulated Data
  • part PART II: Managing Complexity
  • chapter 7 Event Graphs
  • chapter 8 Building Simulation Programs
  • part PART III: Problem-Solving
  • chapter 9 The Monte Carlo Method
  • part PART IV: Sources of Randomness
  • chapter 10 Random Variate Generation
  • chapter 11 Random Number Generation
  • part PART V: Case Studies
  • chapter 12 Case Studies.