Chapter 9: Statistics, Random Processes, and Monte Carlo

Learning Objectives

• Sample from standard distributions and generate correlated random vectors
• Implement hypothesis tests and compute confidence intervals for simulation outputs
• Design Monte Carlo simulations with proper statistical methodology
• Generate Rayleigh, Ricean, and Nakagami fading channel realizations
• Apply variance reduction techniques (importance sampling, antithetic variates) to BER simulations