Discrete-Event Simulation:  A First Course


Chapter 1. Models

  Section 1.1. Introduction 
  Section 1.2. A Single-Server Queue  
  Section 1.3. A Simple Inventory System 

Chapter 2. Random Number Generation

  Section 2.1. Lehmer Random Number Generation: Introduction 
  Section 2.2. Lehmer Random Number Generation: Implementation 
  Section 2.3. Monte Carlo Simulation 
  Section 2.4. Monte Carlo Simulation Examples 
  Section 2.5. Finite-State Sequences 

Chapter 3. Discrete-Event Simulation

  Section 3.1. Discrete-Event Simulation 
  Section 3.2. Multi-Stream Lehmer Random Number Generation 
  Section 3.3. Discrete-Event Simulation Models 

Chapter 4. Statistics

  Section 4.1. Sample Statistics 
  Section 4.2. Discrete-Data Histograms 
  Section 4.3. Continuous-Data Histograms 
  Section 4.4. Correlation 

Chapter 5. Next-Event Simulation

  Section 5.1. Next-Event Simulation 
  Section 5.2. Next-Event Simulation Examples 
  Section 5.3. Event List Management 
  
Chapter 6. Discrete Random Variables

  Section 6.1. Discrete Random Variables 
  Section 6.2. Generating Discrete Random Variables 
  Section 6.3. Discrete Random Variable Applications 
  Section 6.4. Discrete Random Variable Models 
  Section 6.5. Random Sampling 

Chapter 7. Continuous Random Variables

  Section 7.1. Continuous Random Variables 
  Section 7.2. Generating Continuous Random Variables 
  Section 7.3. Continuous Random Variable Applications 
  Section 7.4. Continuous Random Variable Models 
  Section 7.5. Nonstationary Poisson Processes 
  Section 7.6. Acceptance-Rejection 

Chapter 8. Output Analysis

  Section 8.1. Interval Estimation 
  Section 8.2. Monte Carlo Estimation 
  Section 8.3. Finite-Horizon and Infinite-Horizon Statistics 
  Section 8.4. Batch Means 
  Section 8.5. Steady-State Single-Server Service Node Statistics 

Chapter 9. Input Modeling

  Section 9.1.  Nonparametric Modeling of Stationary Processes 
  Section 9.2.  Parametric Modeling of Stationary Processes 
  Section 9.3.  Modeling Nonstationary Processes 

Chapter 10. Projects

  Section 10.1. Empirical Tests of Randomness 
  Section 10.2. Birth-Death Processes 
  Section 10.3. Finite-State Markov Chains 
  Section 10.4. A Network of Single-Server Service Nodes 

Appendices 

  A. Simulation Languages 
  B. Integer Arithmetic 
  C. Parameter Estimation Summary 
  D. Random Variate Models 
  E. Random Variate Generators 
  F. Correlation and Independence 
  G. Error in Discrete-Event Simulation 

References