Stochastic Processes: Theory for Applications
| Author | : | |
| Rating | : | 4.12 (617 Votes) |
| Asin | : | 1107039754 |
| Format Type | : | paperback |
| Number of Pages | : | 553 Pages |
| Publish Date | : | 2017-10-28 |
| Language | : | English |
DESCRIPTION:
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The book is a combination of the material from two MIT courses: (6.262) Discrete Stochastic Process and (6.432) Stochastic Processes, Detection, and Estimation. Because of this, the book shares much in common with Prof. Gallager's previous textbook: Discrete Stochastic Processes (ISBN-13: 978-0792395836 published 19. 32) Stochastic Processes, Detection, and Estimation. Because of this, the book shares much in common with Prof. Gallager's previous textbook: Discrete Stochastic Processes (ISBN-13: 978-0792395836 published 19. 6 published 19. ) Stochastic Processes, Detection, and Estimation. Because of this, the book shares much in common with Prof. Gallager's previous textbook: Discrete Stochastic Processes (ISBN-1Excellent Textbook Stochastic Processes: Theory for Applications is very well written and does an excellent job of bridging the gap between intuition and mathematical rigorousness at the first-year graduate engineering school level. 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The BEST INTRO to Stochastic Processes The best intro to stochastic processes available, bar none [and I have seen a lot of them] - also a companion to his GREAT, FREE course on the MIT Open Course website. If you buy this book, plan to do the course - if you don't you are missing out on a massive amount of information.. Pairs well with a good glass of wine A calm and enjoyable read. Pairs well with a good glass of wine. I prefer red, but I’m sure white would work as well.
The theory and applications of inference, hypothesis testing, estimation, random walks, large deviations, martingales and investments are developed. It includes a careful review of elementary probability and detailed coverage of Poisson, Gaussian and Markov processes with richly varied queuing applications. Written by one of the world's leading information theorists, evolving over twenty years of graduate classroom teaching and enriched by over 300 exercises, this is an exceptional resource for anyone looking to develop their understanding of stochastic processes.. This definitive textbook provides a solid introduction to discrete and continuous stochastic processes, tackling a complex field in a way that instils a deep understanding of the relevant mathematical principles, and develops an intuitive grasp of the way these principles can be applied to modelling real-world systems
Robert G. He is a Fellow of the US National Academy of Engineering, the US National Academy of Sciences, and his numerous awards and honours include the IEEE Medal of Honour (1990) and the Marconi Prize (2003). Gallager is a Professor Emeritus at the Massachusetts Institute of Technology and one of the world's leading information theorists. He was awarded the MIT Graduate Student Teaching Award in 1993, and this book is based o
He was awarded the MIT Graduate Student Teaching Award in 1993, and this book is based on his 20 years of experience of teaching this subject to students. Gallager is a Professor Emeritus at the Massachusetts Institute of Technology and one of the world's leading information theorists. About the Author Robert G. . He is a Fellow of the US National Academy of Engineering, the US National Academy of Sciences, and his numerous awards and honours include the IEEE Medal of Honour (1990) and the Marconi Prize (2003)