Probability and Stochastic Processes

This user-friendly resource helps readers grasp the concepts of probability and stochastic processes, so they can apply them in professional engineering practice. The book presents concepts clearly as a sequence of building blocks that are identified either as an axiom, definition, or theorem. This approach provides a better understanding of the material, which can be used to solve practical problems. Experiments, models, and probabilities. Discrete random variables. Continuous random variables. Pairs of random variables. Random vectors. Sums of random variables. Parameter estimation using the sample mean. Hypothesis testing. Estimation of a random variable. Stochastic processes. Random signal processing. Markov chains.