Introduction to Probability, Statistics, and Random Processes

This comprehensive guide to probability, statistics, and stochastic processes is perfect for students and practitioners in engineering, science, finance, and related fields.

With a clear and intuitive approach, it provides mathematical accuracy while covering a wide range of topics, including basic concepts, single and multiple random variables, limit theorems, Bayesian and classical statistics, and random processes.

The book also includes MATLAB, R, and Python simulations, as well as a large number of solved exercises.

Whether you're looking to gain a deeper understanding of these important fields or simply want to improve your skills, this book is the perfect resource for you.