Introduction to Stochastic Processes - (Dover Books on Mathematics) by Erhan Cinlar (Paperback)

This comprehensive guide to probability theory is perfect for engineering students in applied mathematics and operations research courses, as well as those in a wide variety of other scientific fields.

With a focus on modern viewpoints and computer-related methods, the book provides clear explanations and techniques that are readily adaptable to computing with machines.

The text covers a range of topics, including probability spaces and random variables, expectations and independence, Bernoulli processes and sums of independent random variables, Markov chains and processes, and renewal theory.

Numerous examples and exercises are included throughout the book to help reinforce key concepts and ensure a thorough understanding of the material.

Whether you're looking to gain a deeper understanding of probability theory or want to brush up on your skills for a course, this book is an excellent choice.