Discrete Event Simulation : A Practical Approach by Udo W. Pooch, James A. Wall

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Contents:
Ch. 1. Basic Concepts and Terminology
1.1. Concept of a System
1.2. System Methodology
1.3. Advantages and Disadvantages of Simulation
1.4. Simulation Terminology
Ch. 2. Probability Concepts in Simulation
2.1. Probability
2.2. Set Theory, Compound Events
2.3. Conditional Probability, Independent Events
2.4. Discrete Distributions
2.5. Continuous Distributions
Ch. 3. Random Variables and Probability Distributions
3.1. Functions of a Random Variable
3.2. Moments
3.3. Generating Functions
3.4. Multivariate Distributions
Ch. 4. Detailed Analysis of Common Probability Distributions
4.1. Bernoulli Distribution
4.2. Binomial Distribution
4.3. Geometric Distribution
4.4. Poisson Distribution
4.5. Uniform Distribution
4.6. Normal Distribution
4.7. Exponential Distribution
4.8. Chi-square Distribution
4.9. Student\'s t-distribution
4.10. F-distribution
Ch. 5. Statistics and Random Samples
5.1. Descriptive Statistics and Frequency Diagrams
5.2. Statistics and Sampling Distributions
5.3. Method of Least Squares
5.4. Estimation
5.5. Confidence Interval Estimates
Ch. 6. Statistical Tests
6.1. Tests of Hypotheses
6.2. Student\'s t-test
6.3. The F-test
6.4. The Chi-square Goodness-of-Fit Test
6.5. The Kolmogorov-Smirnov Test
Ch. 7. Generation of Random Numbers
7.1. Pseudorandom Numbers
7.2. Algorithms for Generating Pseudorandom Numbers
7.3. Testing and Validating Pseudorandom Sequences
7.4. Generation of Nonuniform Variates
Ch. 8. Discrete System Simulation
8.1. Simulation Terminology
8.2. Time Management Methods
8.3. Object Generation
8.4. Events and Event Synchronization
8.5. Queue Management and List Processing
8.6. Collecting and Recording Simulation Data
Ch. 9. Model Validation
9.1. Evaluation of the Simulation Model
9.2. Validation Description
9.3. Sampling Methods
Ch. 10. The Design of Simulation Experiments
10.1. Completely Randomized Design
10.2. Randomized Complete Block Design
10.3. Factorial Design
10.4. Network Simulation Model Performance Analysis
Ch. 11. Estimation of Model Parameters
11.1. Optimization of Response Surfaces
11.2. Heuristic Search
11.3. Complete Enumeration
11.4. Random Search
11.5. Steepest Ascent (Descent)
11.6. Coordinate or Single-Variable Search
11.7. Parallel Tangent Search
11.8. Conjugate Direction Search
Ch. 12. Output Analysis
12.1. Analysis of Simulation Results
12.2. Estimation and Confidence Limits
12.3. Initial Conditions and Inputs
12.4. Simulation Model Run Length
12.5. Variance Reduction
Ch. 13. Languages for Discrete System Simulation
13.1. Language Characteristics
13.2. Use of Multipurpose Languages
13.3. Simulation Languages
Ch. 14. Distributed Simulation
14.1. The System Simulation Problem
14.2. Decomposition of a Simulation
14.3. Synchronization of Distributed Model Components
14.4. Deadlock Resolution in Distributed Simulations
Ch. 15. Queueing Theory and Simulation
15.1. Review of the Poisson and Exponential Distributions
15.2. The M/M/1/[actual symbol not reproducible]FIFO System
15.3. Summary Measures for the M/M/1/[actual symbol not reproducible]FIFO System
15.4. The M/M/1/K/FIFO System
15.5. The M/M/C[actual symbol not reproducible]FIFO System
15.6. Priority Queueing Systems
Appendix Tables
I. Normal Distribution Function
II. Student\'s t-distribution Function
III. Chi-square Distribution Function
IV. F-distribution Function
V. Poisson Distribution Function
VI. Critical Values for the Kolmogorov-Smirnov Test