Markov Chains by J.R. Norris, published by Cambridge University Press

How to access the content legally and affordably

. Originally published in 1997, it remains one of the most highly recommended textbooks for both advanced undergraduates and Master's level students seeking a rigorous yet accessible introduction to random processes. Google Books Why This Book is a "Must-Read"

About the Author and Book

Unlike verbose textbooks (e.g., Sheldon Ross’s Introduction to Probability Models ), Norris demands active reading. Here is a proven strategy for using the PDF effectively.

JR Norris's Book on Markov Chains

Quick tips for learning from the book

, which states that the future behavior of a process depends only on its present state, not on how it reached that state.

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