Probability Theory
A Concise Course (Dover Books on Mathematics)
by Y. A. Rozanov
Should I read this?
appears in Probability and Statistics, Probability Theory, and Statistics.
This clear exposition begins with basic concepts and moves on to combination of events, dependent events and random variables, Bernoulli trials and the De MoivreLaplace theorem, a detailed treatment of Markov chains, continuous Markov processes, and more. Includes 150 problems, many with answers. Indispensable to mathematicians and natural scienti...
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Why recommended
appears in Probability and Statistics, Probability Theory, and Statistics.
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Not sure if this is the right fit?
Consider First Course in Probability, A by Sheldon Ross.
“Sheldon Ross’s First Course in Probability reads like a clear, calculus-based undergraduate textbook: definitions, step-by-step derivations, and many worked examples aimed at building formal comfort with probability. What works best is its mathematical clarity — it pushes you through proofs and algebra so you understand why common distributions and counting arguments work. The main limitation is tone and pacing: chapters can feel terse and formula-heavy, and the bundled diskette/tooling feels dated for readers expecting modern software support.”
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