There are lots of great material on Introduction to Stochastic Models subject in the internet, buts its always a challenge to figure out a ready list of top books on Introduction to Stochastic Models 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 Stochastic Models books which are used by students worldwide and came up with top 10 Book Recommendations on Introduction to Stochastic Models subject. These books can be used as a great starting point for anyone studying Introduction to Stochastic Models and can also be used as a ready reference for Under-Graduate and Post-Graduate programs.
Most of these Introduction to Stochastic Models 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 Stochastic Models.
|1. “Probability and Random Processes” by G.R. Grimmett and D.R. Stizaker
Book Review: This book provides a rigorous introduction to the field of probability theory and discusses the random processes in detail. The book basically has 4 main aims which are providing the concepts of basic probability in a straightforward manner, random processes discussion with examples, covering many important topics and impart the beginner with advanced work. The book contains newer chapters on sampling, markov chain, monte carlo, coupling, geometric probability, queuing networks, stochastic calculus and many more.
|2. “An Introduction to Probability Theory and its Applications” by W. Feller|
|3. “Introduction to Stochastic Processes” by E Cinlar|
|4. “Stochastic Modeling and the Theory of Queues” by R.W. Wolff
Book Review: This book contains up-to-date information on applied stochastic processes and queuing theory with major stress on time averages. The book also demonstrates the concepts of priorities, queue pooling, bottlenecks and many more. This book is suitable for graduate courses in queuing theory in the field of operations research, computer science, statistics and industrial engineering. The book also deals with queues and stochastic processes. It also contains details about renewal theory, renewal theorems and regenerative processes.
|5. “Introduction To Stochastic Models” by Nikolaos Limnios|
|6. “INTRODUCTION TO STOCHASTIC MODELS” by D’Marreio Brooks|
|7. “An Introduction to Differential Equations: Stochastic Modeling, Methods and Analysis” by Anil G. Ladde, G. S. Ladde|
|8. “An Introduction to Stochastic Modeling” by Mark A. Pinsky, Samuel Karlin|
|9. “Elementary Introduction to Stochastic Interest Rate Modeling” by Nicolas Privault|
|10. “Introduction to Stochastic Networks” by Richard Serfozo|
If any more book needs to be added to the list of best books on Introduction to Stochastic Models Subject, please let us know.
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