There are lots of great material on Introduction to Probability and Random Processes subject in the internet, buts its always a challenge to figure out a ready list of top books on Introduction to Probability and Random Processes that one can refer to immediately. Even though online materials are good, but nothing can beat the depth of coverage that a book can offer. Hence, we researched the list of Introduction to Probability and Random Processes books which are used by students worldwide and came up with top 10 Book Recommendations on Introduction to Probability and Random Processes subject. These books can be used as a great starting point for anyone studying Introduction to Probability and Random Processes and can also be used as a ready reference for Under-Graduate and Post-Graduate programs.
Most of these Introduction to Probability and Random Processes books are also in the best-seller lists in Amazon website. We have added a brief description of these best books and have also included direct links to Amazon site (as affiliate). This allows anyone to directly visit the site and order printed copies of these best books.
Here is the full list of best reference books on Introduction to Probability and Random Processes.
|1. “Conditional Independence in Applied Probability” by P. Pfeiffer
Book Review: The book demonstrates various theories and applications that are needed for a thorough understanding of probability. The book contains many exercises and real life examples in the fields of biology, computer science, cryptology, ecology, public health, sports and many more. The book stresses more on simulation and demonstrates computational and theoretical results. The book contains chapters on conditional probability, independent trials, random variables, discrete and continuous distributions, continuous probability and many more. The book also contains many problems of probability and numerous practical examples. This book is suitable for undergraduate courses in the field of probability.
|2. “Probability and computing: Randomized Algorithms and Probabilistic Analysis” by Mitzenmacher and E. Upfal|
|3. “Introduction to Probability” by D Bertsekas and J. Tsitsiklis
Book Review: This book provides very nice introduction to probability theory, stochastic processes and probabilistic models used in the field of science, engineering, economics and many other fields. This book is a very good textbook on probability at the graduate and undergraduate levels. The book covers the basics of probability theory which include probabilistic models, discrete and continuous random variables, limit theorems, least squares estimation, bivariate normal distribution, Bernoulli, Poisson and Markov processes and many more.
|4. “Probability, Random Variables, and Random Processes” by John J Shynk|
|5. “Probability And Random Processes” by S. Palaniammal|
|6. “Theory of Probability and Random Processes” by Leonid B. Koralov, Yakov G. Sinai|
|7. “Probability Theory, Random Processes and Mathematical Statistics” by Y Rozanov Rozanov|
|8. “Probability, Random Processes, and Statistical Analysis” by Hisashi Kobayashi Brian L. Mark William Turin|
|9. “Probability and Random Processes for Electrical and Computer Engineers” by John A Gubner|
|10. “Schaum’s Outline of Probability, Random Variables, and Random Processes” by Hwei P. Hsu|
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