Stochastic Models for Communications

This lecture covers stochastic models for communications, including concepts such as mean and variance of a random variable, expectation of a function of a random variable, characteristic functions, moment-generating functions, probability-generating functions, inequalities like Markov and Tchebychev, discrete random variables like Binomial, Geometric, and Poisson distributions, continuous random variables like Gaussian and Exponential distributions, properties of Gamma distribution, Erlang distribution, and Chi-square distribution.