Table of Contents

1. Introduction 2. Review of Probability Theory 3. Simulation Techniques 4. Hypothesis Testing 5. Multivariable Linear Regression 6. Time Series Forecasting 7. Dimensionality Reduction 8. Clustering Techniques 9. Classification Techniques 10. Artificial Neural Networks 11. Support Vector Machines 12. Hidden Markov Models

About the Author

Harry G. Perros is a Professor of Computer Science at North Carolina State University, an Alumni Distinguished Graduate Professor, and an IEEE Fellow. He has published extensively in the area of performance modelling of computer and communication systems, and in his free time he likes to go sailing and play the bouzouki.