Here is the listing 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|
Sanfoundry Global Education & Learning Series – Best Reference Books!