Applied Probability and Stochastic Processes

By Richard M. Feldman and Ciriaco Valdez-Flores

Book Overview

This book is a result of teaching stochastic processes to junior and senior undergr- uates and beginning graduate students over many years. In teaching such a course, we have realized a need to... This description may be from another edition of this product.

• Format: Hardcover
• Language: English
• ISBN: 053493921X
• ISBN13: 9780534939212
• Release Date: December 1995
• Publisher: Pws Pub Co
• Length: 320 Pages
• Weight: 1.55 lbs.
• Dimensions: 9.5" x 0.8" x 7.5"

Customer Reviews

Good book!

A lot of examples, easy to read. A lot of stochastic and queueing books are usually full of notations and theorems, thus hard to understand. However, the author of this book presented the materials in a way that we can actually understand the stocahstic processes. If you want to learn queueing and do not have much background, this is the book!!!!

Best introductory book

Extremely clear, and easy to understand. It is the best introductiory book on stochastic processes for non-mathematics major. After you read this book ( one month is enough, how amazing it is!), it becomes easier to read "the first course in stochastic processes". The book focuses on the concept and intuition, instead of proof, and I find it is extremely useful for me -- CS major.Strong recommend this great book

It's worth at least six stars!

I randomly ran across this book in my math library trying to find an extra book to help with the difficult Stochastics Process class I was taking. Little did I know I would find a book I value as much as Douglas Kelly's Introduction to Probability. This book has applied problems and examples! It is not the dry, endless pages of confusing equations we have come to expect from Stochastics Processes books. There is something better out there! This book saved me as an undergraduate, and am now looking forward to it living up to my God like expecations as a post grad. If you are a professor, please use this book for you students. It ties together and lets you appreciate many fields such as linear analysis and even graph theory from computer science. This book will not disappoint.