Basics of Applied Stochastic Processes (Probability and Its Applications)
| Author | : | |
| Rating | : | 4.28 (870 Votes) |
| Asin | : | 3642430430 |
| Format Type | : | paperback |
| Number of Pages | : | 443 Pages |
| Publish Date | : | 2015-09-22 |
| Language | : | English |
DESCRIPTION:
Keep in mind this is first edition You can tell this is a first edition, it has a lot of errors (not just typos). What I wonder is if the author used the book enough with students before publishing it, because you can find errors in the exercises that can be easily spotted.It's still a good book, but maybe it's better to wait for the next edition (given the high price). You can go for Resnick's (Adventures in Stochastic Processes) classic book, which is pretty good.. S. Vasserman said Great overview of stochastic processes. 5 stars from an MIT math undergrad!This was a great supplement to the MIT stochastic processes course (which is quite applied) and had enough theory to leave me very satisfied.
1159, 2009) “This book is an introduction to applied stochastic processes written as a text that balances between an introduction focusing on the basics of applied stochastic processes and an advanced text that includes more theoretical aspects of these processes. The clear writing style and the few mathematical prerequisites … make it suitable for a first course in stochastic processes. … The text is well written and provides a nice balanced introduction to applied stochastic processes.” (Randall James Swift, Mathematical Reviews, Issue 2010 b) . From the reviews: "This text book by Richard Serfozo is an introduction to the field of stochastic processes and their applications. … The text provides numerous examples and exercises to illustrate appl
Although these results differ for various processes, they have a common trait of being limit theorems for processes with regenerative increments. Stochastic processes are mathematical models of random phenomena that evolve according to prescribed dynamics. This volume gives an in-depth description of the structure and basic properties of these stochastic processes. A main focus is on equilibrium distributions, strong laws of large numbers, and ordinary and functional central limit theorems for cost and performance parameters. Extensive examples and exercises show how to formulate stochastic models of systems a